GitHub topics: agglomerative-clustering

Repositories

Boykadakim/User-Clustering-with-BERT-Models

User Clustering Pipelines with BERT Models on Long and Heterogeneous Tweets - BSc Thesis

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DrStef/Machine_Learning_with_Python-IBM

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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: 23 days ago - Pushed at: 23 days 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: 4 days ago - Pushed at: about 1 month ago - Stars: 4 - 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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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: 2 months ago - Pushed at: 2 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.

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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: 2 months ago - Pushed at: 2 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

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havelhakimi/gene-expression

Agglomerative based clustering on gene expression dataset

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greenelab/hclust

Agglomerative hierarchical clustering in JavaScript

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PacktWorkshops/The-Unsupervised-Learning-Workshop

An Interactive Approach to Understanding Unsupervised Learning Algorithms

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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.

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Pegah-Ardehkhani/Customer-Segmentation

Customer Personality Analysis Using Clustering

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taneishi/LeukemiaClustering

Hierarchical Clustering of Leukemia Gene Expression Dataset

Language: Python - Size: 106 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

SevilayMuni/e-commerce-fraud-detection

Detecting fraudulent transactions in e-commerce data provided by Vesta Corporation.

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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: 8.18 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - 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: 4 months ago - Pushed at: 4 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: 3 months ago - Pushed at: over 4 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

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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).

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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: 6 months ago - Pushed at: 6 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: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

pranava007/AI_ML_Clustering_Agglomerative

Clutering Agglomerative

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iesl/expLinkage

Supervised hierarchical clustering

Language: Python - Size: 102 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 6

Kalyan1123/Credit-Card-Cluster

About PCA. Clustering Algorithms. Business Analytics.

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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.

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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.

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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.

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simayakar/customer-clustering

Customer Clustering: K-Means, Agglomerative Clustering, PCA

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bjam24/bank_customer_segmentation_methods

The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.

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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.

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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: 23 days ago - Pushed at: over 5 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.

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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: 11 months 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.

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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: 11 months ago - Pushed at: 11 months 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).

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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: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AndreyKaigorodov/Clustering-of-stocks

Clustering a stock portfolio for the diversification problem

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pharo-ai/hierarchical-clustering

Hierarchical Clustering algorithms for Pharo

Language: Smalltalk - Size: 63.5 KB - Last synced at: 3 months ago - Pushed at: over 1 year 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: 23 days ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

Aliakbawr/leaf-classification-and-clustering

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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: 7 days ago - Pushed at: about 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.

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filipusarif/Clustering-Python

Clustering with Agglomerative and DBSCAN algorithm Machine Learning

Language: Python - Size: 752 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 0 - 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.

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Mariajru/ML_Clustering

Clustering with different Machine Learning algorithms

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MalharK7/CIA-Country-Analysis-and-Clustering

CIA Country Analysis and Clustering

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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: about 1 year ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 8

Ninad077/Machine_Learning-Hierarchical_Clustering

Content: Unsupervised ML, Agglomerative & Divisive Hierarchical clustering, EDA using Dendrogram, Customer clustering

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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

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phoebeyueh/207_customer_segmentation

207 Machine Learning Project using various clustering models

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Caster/growing-glyphs

Implementation accompanying A Practical Algorithm for Spatial Agglomerative Clustering

Language: Java - Size: 5.98 MB - Last synced at: about 1 year ago - Pushed at: almost 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.

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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: about 1 year ago - Pushed at: about 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: about 1 year ago - Pushed at: almost 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - 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

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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.

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Alex1iv/customer_segmentation

Credit card users segmentation with multiple methods: K-means, agglomerative_clustering

Language: Python - Size: 5.98 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

yosra270/clustering-example

First steps in clustering with k-Means and hierarchical clustering.

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Ankitabit3496/Online-Retail-Market-Costumer-Analyzer

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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.

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KaribDev/Fine-grained-Clustering

Agglomerative Clustering of articles

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haniye6776/fraud-detection-using-clustering

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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: about 1 year ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 5

Szafranerio/Hierarchical-Clustering

🤖 Machine Learning (Hierarchical Clustering) for Blobs and Cars dataset

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BairagiSaurabh/Electric-Vehicle-Market-Segmentation

Market Segmentation Analysis on Electric Vehicle (India)

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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: over 3 years ago - Stars: 1 - Forks: 0

yujansaya/kaggle_customer_segmentation

Mall Customer Segmentation Data

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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)

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amanraghuvanshi/Consumer-Purchase-Analysis

Customer Purchase Analysis

Language: Jupyter Notebook - Size: 842 KB - Last synced at: 7 days 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.

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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: over 1 year ago - Pushed at: over 2 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

bsdr18/Clustering-and-Segmentation-for-Banking

Exploratory Analysis and Clustering Techniques for Customer Segmentation in Banking

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MrJay07/customer-segmentation

Customer Personality Analysis Using Clustering

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dreamvrutik/Data-Mining-Clustering

Language: Python - Size: 896 KB - Last synced at: over 1 year 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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