GitHub topics: agglomerative-clustering
Boykadakim/User-Clustering-with-BERT-Models
User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
MainakVerse/Clusterings
A curated list of 20 clustering algorithms implemented in or accessible via Scikit-learn 🧠 These algorithms are widely used for unsupervised learning, pattern discovery, and data segmentation.
Language: Python - Size: 48.8 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
mciccale/countries-clustering 📦
Given a dataset with information about 167 countries, the goal of this experiment is to segmentate the countries in clusters to then determine which groups may need help more urgently using clustering techniques.
Language: Jupyter Notebook - Size: 3.86 MB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0
CryAndRRich/r4bbish
Unsupervised waste classification using contrastive learning and clustering-based voting (Highest score in Samsung Innovation Campus 2025)
Language: Python - Size: 122 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
Otniel113/SegmentasiPelanggan
Penerapan Kecerdasan Buatan dalam Komunikasi Pemasaran: Segmentasi Pelanggan dengan Agglomerative Clustering
Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
PacktWorkshops/The-Unsupervised-Learning-Workshop
An Interactive Approach to Understanding Unsupervised Learning Algorithms
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mathpanda757/FashionMNIST-Clustering
🖼️ Cluster Fashion-MNIST images using K-Means and Agglomerative Clustering to analyze patterns in fashion data with clear visualizations and metrics.
Language: Jupyter Notebook - Size: 583 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
shahin-ro/FashionMNIST-Clustering
Clustering Fashion-MNIST with K-Means & Agglomerative methods! 🖼️✨ Analyze 5000 images, visualize clusters, and evaluate with ARI & V-measure. 📊 Perfect for unsupervised learning exploration! 🚀
Language: Jupyter Notebook - Size: 593 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
Gallillio/Unsupervised_Clustering_Music_Recommendation_System
Music Recommendation System using Unsupervised Machine Learning Clustering Methods using K-Means, Fuzzy C Mean DBSCAN, Gaussian Mixture Model, BIRCH and Agglomerative Clustering
Language: Jupyter Notebook - Size: 30.7 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1
AyanQuadri/ML-Lab
Machine Learning Algorithms
Language: Python - Size: 152 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
nestalii/cluster-analysis-metrics
This project implements cluster analysis on real data using multiple methods to evaluate optimal cluster number: Elbow method, Silhouette score, and Prediction Strength. Both KMeans and Agglomerative Clustering are applied, with visualization and stability evaluation
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SayamAlt/Bank-Customer-Segmentation
Successfully established a clustering model which can categorize the customers of a renowned Indian bank into several distinct groups, based on their behavior patterns and demographic details.
Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1
ayushk028/Customer-Segmentation-Using-Clustering-Algorithms
Customer Segmentation Using Unsupervised Machine Learning Algorithms
Language: Jupyter Notebook - Size: 71.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
DrStef/Machine_Learning_with_Python-IBM
Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
cobanov/semaclust
Semantic text clustering using sentence embeddings and agglomerative clustering.
Language: Python - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 0
FabrizioMusacchio/dimensionality_reduction_in_neuroscience
Course material for "Dimensionality reduction in Neuroscience"
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amirabaskanov/valorant-team-optimizer
Clustering Player Archetypes to Optimize Team Composition in Valorant Esports
Language: Python - Size: 1.65 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
RohanFredriksson/agglomerative-clustering
🎨 Fast hierarchical agglomerative clustering powered by WebAssembly
Language: C++ - Size: 207 KB - Last synced at: 19 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
kvitK1/ML-Driven-Clustering-of-Onboarding-Users-Strategies-for-Enhanced-Conversion
Bachelor thesis is submitted in fulfilment of the requirements for the Bachelor of Science degree in the Department of Business Analytics and Information Technologies at the Faculty of Applied Sciences of Ukrainian Catholic University.
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uef-machine-learning/tspgclu
Fast but accurate approximation of Ward's agglomerative clustering using a fully connected TSP graph
Language: C - Size: 8.33 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 4 - Forks: 0
sree2694/health_clustering_app
Healthcare providers collect large volumes of patient data. However, this data is underutilized for early risk profiling. This project aims to apply clustering techniques to group patients based on similar health characteristics to identify hidden patterns and offer early preventive care suggestions.
Language: Python - Size: 299 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Markkreel/Binary-Static-Analysis-Through-Instruction-and-Operand-Extraction-and-AHC-Algorithm
A static binary analysis tool visualizes code blocks in the assembly of a disassembled binary file using the AHC algorithm, aided by entropy calculation and similarity measurement.
Language: Assembly - Size: 3.93 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
PerminovEugene/messy-folder-reorganizer-ai
🤖 AI-powered CLI for file reorganization. Runs fully locally — no data leaves your machine.
Language: Rust - Size: 438 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 0
aelmah/Data-Mining
Data Mining Projects
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nolnolon/User-Clustering-with-BERT-Models
User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis
Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
havelhakimi/gene-expression
Agglomerative based clustering on gene expression dataset
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 8 - Forks: 0
greenelab/hclust
Agglomerative hierarchical clustering in JavaScript
Language: JavaScript - Size: 202 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 19 - Forks: 3
AdityaSreevatsaK/DS-ML-Playground
A collection of data science and machine learning projects showcasing complete workflows, from data cleaning and preprocessing to model building and evaluation. Dive into diverse datasets, explore a range of techniques, and experiment with models in this comprehensive playground for learning and innovation.
Language: Jupyter Notebook - Size: 40.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 22 - Forks: 5
taneishi/LeukemiaClustering
Hierarchical Clustering of Leukemia Gene Expression Dataset
Language: Python - Size: 106 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
SevilayMuni/e-commerce-fraud-detection
Detecting fraudulent transactions in e-commerce data provided by Vesta Corporation.
Language: Jupyter Notebook - Size: 627 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
LLAES07/Segmentacion_clientes
Segmentación de clientes mediante K-Means, Clustering Jerárquico y DBSCAN, con reducción de dimensionalidad usando PCA. Incluye análisis exploratorio (EDA), generación de variables RFM y evaluación con Silhouette Score y análisis de Pareto para optimizar estrategias de marketing.
Language: Python - Size: 12.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
shubhamjha97/hierarchical-clustering
A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
Language: Python - Size: 2.28 MB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 83 - Forks: 31
Relostar-Devil/Machine-Learning-Algorithms
Supervised and Unsupervised Machine Learning Algorithms.
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Akimuddinshaikh/Master-s-Research-Project
A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets
Size: 9.46 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
HafiizhTH/Grouping-Provinces-with-Agglomerative
This repository contains final assignments with a focus on applying the Agglomerative Clustering algorithm to cluster provinces in Indonesia based on educational indicators at the high school level (SMA).
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
andreduong-zz/credit-card-clustering
PCA. Clustering Algorithms. Business Analytics.
Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 10
DolbyUUU/clustering_algorithm_implementation_python
Clustering algorithm implementaions from scratch with python (k-means, EM-GMM, mean-shift, agglomerative)
Language: Python - Size: 1.14 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
Jenson073/Clustering_algorithms
This effectively conveys the focus on applying and comparing two clustering algorithms, K-Means and Agglomerative Clustering, using synthetic data.
Language: Python - Size: 3.91 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
pranava007/AI_ML_Clustering_Agglomerative
Clutering Agglomerative
Language: Jupyter Notebook - Size: 77.1 KB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
iesl/expLinkage
Supervised hierarchical clustering
Language: Python - Size: 102 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 6
Kalyan1123/Credit-Card-Cluster
About PCA. Clustering Algorithms. Business Analytics.
Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
utkuatasoy/Player-Detection-and-Clustering-in-Sports-Matches
This project aims to automatically detect players in sports matches and cluster the detected players based on their jersey colors. The YOLOv8 model was used for object detection, and the VGG16 model was used for feature extraction. Clustering was performed using the K-Means and Agglomerative Clustering algorithms.
Language: Jupyter Notebook - Size: 741 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
sarojinisharon/Unsupervised-Learning-Clustering-Techniques-for-Data-Analysis
This project explores clustering methods in unsupervised learning, focusing on K-Means, Hierarchical Clustering, and DBSCAN. It demonstrates data preprocessing, clustering implementation, evaluation using metrics like silhouette scores, and insights gained from clustering various datasets.
Language: Jupyter Notebook - Size: 203 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
simayakar/customer-clustering
Customer Clustering: K-Means, Agglomerative Clustering, PCA
Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
bjam24/bank_customer_segmentation_methods
The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.
Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Computer-Vision-Spring-2024/exVision-AlgoSegment
Desktop application incorporating different algorithmic segmentation techniques, specifically clustering and thresholding
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Ruban2205/Machine_learning_fundamentals
This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.
Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0
masumkhan081/machine-learning
Raw Coding Implementation Of Different Sorts Of Machine Learning Algorithms Without Using Library
Language: Python - Size: 17.6 KB - Last synced at: 13 days ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
RahulSawant9821/DissertationMain
A public dataset was used to evaluate machine learning algorithms like K-means and hierarchical clustering, identifying distinct customer segments. The best model was integrated into a user-friendly dashboard, providing valuable customer insights. This tool improves segmentation accuracy and efficiency, accessible even to non-technical users.
Language: Jupyter Notebook - Size: 28.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
manjugovindarajan/Trade-Ahead-StockClustering-using-ML
Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.
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pushkarsaini18/Customer-Behaviour-Pattern
Customer Personality Analysis is a detailed analysis of a company’s ideal customers. It helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors, and concerns of different types of customers. Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments. For example, instead of spending money to market a new product to every customer in the company’s database, a company can analyze which customer segment is most likely to buy the product and then market the product only on that particular segment.
Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1
itsmarmot/Pokemon-Clustering
discover meaningful clusters among Pokemon using their Attack and HP statistics. By employing agglomerative clustering, an unsupervised machine learning technique, we can identify groups of Pokemon with similar characteristics in these two key attributes.
Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
mctripp10/clustering-iris-flower-data
Program that utilizes unsupervised learning clustering algorithms (agglomerative clustering and DBSCAN) to build models for identifying the iris flower dataset.
Language: Python - Size: 342 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
pruthvikp/ML_LAB
This repository is a collection of programs implemented as part of Machine Learning Laboratory course at JSS Science And Technology University(SJCE).
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ITHackerstein/HCLUS
Un sistema client-server per la scoperta di un dendrogramma di cluster con un algoritmo di clustering agglomerativo scritto completamente in Java.
Language: Java - Size: 6.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AndreyKaigorodov/Clustering-of-stocks
Clustering a stock portfolio for the diversification problem
Language: Jupyter Notebook - Size: 370 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
pharo-ai/hierarchical-clustering
Hierarchical Clustering algorithms for Pharo
Language: Smalltalk - Size: 63.5 KB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1
Samthesimpsons/Project-Reinforcement-Learning-Wordle-Solver
SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning
Language: Python - Size: 3.09 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
Aliakbawr/leaf-classification-and-clustering
Language: Jupyter Notebook - Size: 74.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
rohra-mehak/ScienceSync
System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis
Language: Python - Size: 9.85 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Davityak03/Customer-segmentation
Project focuses on customer segmentation using the marketing_campaign.csv dataset. The objective is to identify distinct customer groups through clustering techniques, aiding in personalized marketing strategies.
Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
filipusarif/Clustering-Python
Clustering with Agglomerative and DBSCAN algorithm Machine Learning
Language: Python - Size: 752 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Mariajru/ML_Clustering
Clustering with different Machine Learning algorithms
Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
MalharK7/CIA-Country-Analysis-and-Clustering
CIA Country Analysis and Clustering
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
srp98/Unsupervised-Learning
Clustering Algorithms based on centroids namely K-Means Clustering, Agglomerative Clustering and Density Based Spatial Clustering
Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 8
Ninad077/Machine_Learning-Hierarchical_Clustering
Content: Unsupervised ML, Agglomerative & Divisive Hierarchical clustering, EDA using Dendrogram, Customer clustering
Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
mehrdaddjavadi/Face-recognition
in this project we have used arcface to detect faces and with clustering algorithms like kmeans, dbscan and agglomerative we have clustered faces
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
phoebeyueh/207_customer_segmentation
207 Machine Learning Project using various clustering models
Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Caster/growing-glyphs
Implementation accompanying A Practical Algorithm for Spatial Agglomerative Clustering
Language: Java - Size: 5.98 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
adelelwan24/Credit-Card-Customer-Segmentation
This repository implements customer segmentation techniques to analyze credit card user behavior and identify distinct customer groups. By leveraging Python libraries like pandas, Scipy and scikit-learn.
Language: Jupyter Notebook - Size: 36.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
juliazubko/clustering_dashplotly
Year 1 Data Science (HVE) course assignment (2022): cluster the data, make a dashboard with some exploratory plots
Language: Python - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
duttaprasanta/clustering
Different clustering and clustering metrics are implemented in this repository
Language: Python - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
Hari-1903/Financial-Clustering
In this project, unsupervised learning methods, particularly clustering, are employed to determine the optimal algorithm for predicting whether a company has achieved net profit or incurred a net loss.
Language: Jupyter Notebook - Size: 520 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
alirezarahimi1393/Classical-Learning
Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.
Language: Jupyter Notebook - Size: 309 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Alex1iv/customer_segmentation
Credit card users segmentation with multiple methods: K-means, agglomerative_clustering
Language: Python - Size: 5.98 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
yosra270/clustering-example
First steps in clustering with k-Means and hierarchical clustering.
Language: Jupyter Notebook - Size: 166 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
Ankitabit3496/Online-Retail-Market-Costumer-Analyzer
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
nitinjosephrepo/Logistic-Regression
Repo contains my personal Machine Learning projects with emphasis on explanability and Insights that are relevant for various stake holders in a business.
Language: Jupyter Notebook - Size: 5.66 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
KaribDev/Fine-grained-Clustering
Agglomerative Clustering of articles
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haniye6776/fraud-detection-using-clustering
Language: Jupyter Notebook - Size: 481 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
OlaPietka/Agglomerative-Hierarchical-Clustering-from-scratch
Build Agglomerative hierarchical clustering algorithm from scratch, i.e. WITHOUT any advance libraries such as Numpy, Pandas, Scikit-learn, etc.
Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 5
Szafranerio/Hierarchical-Clustering
🤖 Machine Learning (Hierarchical Clustering) for Blobs and Cars dataset
Language: Jupyter Notebook - Size: 729 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
BairagiSaurabh/Electric-Vehicle-Market-Segmentation
Market Segmentation Analysis on Electric Vehicle (India)
Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 3
anxxos/text-mining-news-clustering
En esta práctica se ha abordado el problema de implementar un programa de procesado de noticias en la Red, mediante las librerías de procesamiento de lenguaje natural spaCy y NLTK, además de una posterior clasificación de las mismas según su temática utilizando un algoritmo de clustering jerárquico aglomerativo.
Language: Python - Size: 606 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
yujansaya/kaggle_customer_segmentation
Mall Customer Segmentation Data
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
zaina826/Dimensionality-Reduction-and-Clustering
With the "Mall Customers" dataset, we explore K-means and agglomerative clustering, and explore the concept of dimensionality reduction using Principal Component Analysis (PCA)
Language: Jupyter Notebook - Size: 271 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
amanraghuvanshi/Consumer-Purchase-Analysis
Customer Purchase Analysis
Language: Jupyter Notebook - Size: 842 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
maryamteimouri/DataAnalysis-and-KnowledgeDiscovery
This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.
Language: Jupyter Notebook - Size: 481 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Abdelrahman-Amen/Applying-different-unsupervised-learning-techniques
Applying various clustering techniques to the dataset, and my primary goal is to identify and choose the most effective method that best captures the underlying patterns in the data.
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maydodu/CENG499-Machine-Learning
Homeworks of the CENG499: Introduction to Machine Learning course
Language: Python - Size: 13.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
pinarismiguzel/Customer-Segmetation
Customer Segmentation - Unsupervised Learning
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ibtissam01/Fetale_health-_-classifiaction-clusterng
Ce projet consiste en l'analyse de données dans le domaine de la santé, plus précisément la classification de la santé fœtale, en utilisant des techniques d'apprentissage automatique
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
bsdr18/Clustering-and-Segmentation-for-Banking
Exploratory Analysis and Clustering Techniques for Customer Segmentation in Banking
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
MrJay07/customer-segmentation
Customer Personality Analysis Using Clustering
Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
dreamvrutik/Data-Mining-Clustering
Language: Python - Size: 896 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1
Keshav25-2002/Student-Evaluation-Analysis
This project analyzes the student evaluation dataset to identify the key factors that affect a course's overall evaluation and predict the expected course rating. The dataset contains 463 observations and 28 variables, including demographic information of the students and course attributes such as instructor's expertise, course difficulty, course
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abideenml/CustomerPersonalityAnalysis-with-KMeans-ACM-MS-DBSCAN
This repository contains the Personality Analysis 🧐 of customers of a Grocery store 🏬 with K-means, Agglomerative, Mean shift, DBSCAN clustering. Data preprocessing -> feature engineering -> visuzalization after PCA -> clustering -> profiling.
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rrfsantos/BNDES
Prêmio Dados Abertos para o Desenvolvimento - VGG16, AgglomerativeClustering, Tesseract, Pytesseract, Latent Dirichlet Allocation (LDA), WordCloud.
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MohammadYasinKarbasian/Data-Mining-Homeworks
This repository contains my solutions and implementations for assignments assigned during the Data Mining course.
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