Gemois/HCvision

This AutoML web application, built with Spring Boot, Python, and Angular, performs Agglomerative Hierarchical Clustering on user-uploaded datasets. It automatically determines the optimal number of clusters, proximity method and provides clustering results.

Language: Java - Size: 1.88 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Aptacode/PathFinder

An optimized C# HPA* Pathfinder

Language: C# - Size: 24.7 MB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 0

GiatrasKon/Hyperspectral-Image-Clustering

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.

Language: MATLAB - Size: 9.22 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

MoinDalvs/Assignment_East-West_Airlines

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 3

Priyanshu501/CausalGeneAnalysis

This repository contains analysis and exploration of causal and non-causal relationships between genes and phenotypes using embeddings generated from GPT-3.5. The project applies vector analysis, dimensionality reduction, and clustering techniques (K-Means, Hierarchical, and DBSCAN) to uncover potential patterns and insights into causality.

Language: Jupyter Notebook - Size: 253 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

nicolasfguillaume/Strategic-Business-Analytics-with-R

Foundations of Strategic Business Analytics - ESSEC Business school via Coursera.org

Size: 276 KB - Last synced at: 7 months ago - Pushed at: about 9 years ago - Stars: 18 - Forks: 28

KasrAskari/Cars-Models

Clustering of Cars Models

Language: Jupyter Notebook - Size: 1 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

raysas/ML-from-scratch

a machine learning python library implementation from scratch

Language: Jupyter Notebook - Size: 670 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

RobCyberLab/Image-Pixel-Clustering

🌀Image Pixel Clustering📏

Language: Python - Size: 2.52 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

akhileshthite/clustering

Mall Customers

Language: Jupyter Notebook - Size: 517 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

guglielmosanchini/ClustViz

Visualization of many Clustering Algorithms, via Notebook or GUI

Language: Jupyter Notebook - Size: 246 MB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 14

prneidhardt/Unsupervised-Learning

Trade & Ahead Project

Language: Jupyter Notebook - Size: 4.22 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

anna-kay/Bank-Marketing-Dataset-classification-clustering

Bank Marketing Dataset (BMD), Machine Learning Repository (UCI), classification, clustering, R

Language: R - Size: 9.77 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

juan-gamero-salinas/climateready-survey-pamplona

This repository gives you access to the CLIMATEREADY survey dataset containing thermal comfort votes during the 2021 and 2022 heatwave periods in Pamplona, Spain, as well as other relevant parameters self-reported by surveyees (e.g. occupant characteristics and behaviour, key building/dwelling characteristics, sleep problems, heat-related symptoms)

Language: HTML - Size: 1.52 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

Aruuunn/clustering-visualizer

Clustering Visualizer is a Web Application for visualizing popular Machine Learning Clustering Algorithms (K-Means, DBSCAN, Mean Shift, etc.).

Language: TypeScript - Size: 4.18 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 0

SirineMaaroufi/ML_Clustering_Explorations

This repository contains a series of notebooks exploring various clustering techniques in machine learning.

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jeffreywijaya100/exercise-ml

solving case and answer question given about machine learning

Language: Jupyter Notebook - Size: 390 KB - Last synced at: 27 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

starkblaze01/Artificial-Intelligence-Codes

Collection of Artificial Intelligence Algorithms implemented on various problems

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walidbosso/R_Data_mining

Extract knowledge from a data using different techniques, including Association Rules Hierarchical Agglomerative Clustering (HAC) K-means Clustering Decision Trees

Language: R - Size: 9.75 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

JaewonSon37/Fundamentals_of_Data_Science1

Language: R - Size: 780 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

pneuvial/adjclust

Adjacency-constrained hierarchical clustering of a similarity matrix

Language: R - Size: 18.5 MB - Last synced at: 22 days ago - Pushed at: 9 months ago - Stars: 16 - Forks: 8

KOLANICH-mirrors/PyChem

A mirror and a fork of PyChem

Language: Python - Size: 21.7 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Niteshchawla/Clustering-ML

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

shlienlab/raccoon

Multi-scale clustering in Python

Language: Python - Size: 6.14 MB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 4

rdebullain/ML-Wholesale_Data_Analysis

Language: Jupyter Notebook - Size: 9.34 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

GabrielMazzotta/NLP-Clustering--Movie-Similarity-from-Plot-Summaries

A Python-based movie recommendation system leveraging NLP and clustering techniques. This project includes data processing, vectorization of plot summaries, and the implementation of recommendation algorithms to suggest similar movies based on user input.

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div-lab/dendromap

Interactively and visually explore large-scale image datasets used in machine learning using treemaps. VIS 2022

Language: Jupyter Notebook - Size: 167 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 48 - Forks: 1

singhsourav0/Machine-Learning-Algorithms

Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

fjovanovic/Twitter-AI-Sentiment-Analysis

A project leveraging classification and clustering algorithms to determine the sentiment of tweets, distinguishing between hatred and non-hatred content

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SirTee12/UK-Retail-Segmentation-Analysis

Consequently, the main purpose of this study is to develop a systematic implementation of customer segmentation for the business. To distinguish diverse customers, customers’ behavioral characteristics are obtained from the RFM model (Recency, Frequency, Monetary Value).

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Observarun/Hierarchical-path-segmentation-II

Codes for segmenting and clustering of relocation time series data to generate StaMEs and CAMs, coding of raw CAMs with StaMEs as bases, CAM rectification, and comparison of coding schemes, as performed in https://doi.org/10.1101/2024.08.02.606194.

Language: R - Size: 61.5 KB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

mainbrm1380/credit-card-holder-clustering

Implementation of five different clustering algorithms

Language: Jupyter Notebook - Size: 722 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ClimSocAna/sentiments-with-hierarchical-clustering

Code for the paper "Guiding sentiment analysis with hierarchical text clustering: Analyzing the German X/Twitter conversation on face masks in the 2020 COVID-19 pandemic"

Language: HTML - Size: 1.24 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ranceforhiwd/heir-clustering

Hierarchical Clustering

Language: Python - Size: 112 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

cego669/DirtyCategoriesEncoding

Repository containing two classes (StringAgglomerativeEncoder and StringDistanceEncoder) useful for grouping or visualizing the distance between dirty categorical variables. They are compatible with the scikit-learn API.

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mcxraider/sph-timeline-project

SPH media prototype

Language: Python - Size: 245 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mpfi-dsp/GoldInAndOut

🔬🥇🧠🍔 Automated Gold Particle Analysis For Freeze Fracture Replica Electron Microscopy Images

Language: Python - Size: 330 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 3

pandafengye/MIST

MIST: a metagenomic intra-species typing tool.

Language: Python - Size: 251 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

KUSHALKUMARD/Customer-Segmentation-Project

In this project, we will first firstly implement RFM Analysis to group customers according to RFM metrics and then the same customers will be segmented by using K-Means and Hierarchical Clustering algortihms.

Language: Python - Size: 177 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

krunal-nagda/HELP-International-Case-Study---Clustering

Using K-means and Hierarchical Clustering to categorise the countries using some socio-economic and health factors that determine the overall development of the country. Then suggesting the countries which the CEO needs to focus on the most.

Language: Jupyter Notebook - Size: 437 KB - Last synced at: 12 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Priyanshu501/Customer_Segmentation_for_Targeted_Marketing

Analysis of customer information to identify potential segments for targeted marketing campaigns using various clustering techniques.

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

JessicaaaJe/User-Behavior-Analysis-Using-Clustering

Exploring customer loyalty and behavior using clustering techniques on a churn-risk dataset,with insights into demographics, engagement, churn risk, and promotional strategy effectiveness

Language: Jupyter Notebook - Size: 956 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

PerretB/ultrametric-fitting

Ultrametric Fitting by Gradient Descent

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ggeop/Flag-Study

Nations Flags Classification & Clustering project. :flags:

Language: R - Size: 2.52 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

mqwfrog/MHCCL

MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)

Language: Python - Size: 5.06 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 30 - Forks: 10

SaniyaAbushakimova/Brewing-Insights-with-Unsupervised-Learning

Conducted a comprehensive clustering analysis to categorize beers based on features such as Astringency, Alcohol content, Bitterness, Sourness, and more. Utilized k-medoids and hierarchical agglomerative clustering algorithms to achieve this classification. Tech: Python (numpy, pandas, seaborn, matplotlib, sklearn, scipy)

Language: Jupyter Notebook - Size: 50 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

riddhigupta1110/DataWarehousingAndMining-V-MU-CSE

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

Language: Python - Size: 24.4 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

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

srosalino/Clustering_On_Starbucks_Beverages

Grouping of drinks according to their nutritional values, making it easier to categorize them in a future catalog, increasing organization and facilitating the search depending on individual preferences

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Bauti2020/Statistical-and-Machine-Learning-Approaches-for-Portfolio-Optimization

Six portfolio optimization strategies were considered, plus one benchmark, across 3 scenarios,. We considered methods relying both in ML and common statistical procedures; and we run an out-of-sample back-test for each strategy, for every scenario.

Language: Jupyter Notebook - Size: 9.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

QuaCau-TheSphere/Graphvidian

Obsidian plugin to export Graphviz graphs from vault's notes

Language: TypeScript - Size: 99.6 KB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 28 - Forks: 1

pratmo/wine-pca-clustering

Performing hierarchical and k-means clustering with and w/o PCA technique for dimentionality reduction.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

vhtua/Group4_Data_analysis

Hierarchical Cluster Analysis: Movie Genres Preferences

Language: TeX - Size: 24.2 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Keerthiga-Sekar/Segmentation-using-Clustering-and-PCA-

1. Digital Marketing Advertisement Data Segmentation using clustering techniques. 2. Identify Optimum Principal Components that explains the most variance in the Primary Census data.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

karthik-d/image-clef-medical-gan-2023

Scripts, figures, and working notes for the participation in ImageCLEFmedical GANs task, part of the 14th CLEF Conference, 2023.

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

esoto15/text-tone-preference-analysis

This repository contains the code and analysis for a research project aimed at enhancing social media impact for food safety security organizations. The project focuses on understanding text tone preferences based on user demographics using machine learning techniques.

Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SamKazan/fraud-detection-ml

Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

fairuznajla/Eco-Taxi-Analytics

This team project is consists recommendation deck and monitoring dashboard for an Eco-Friendly Online Taxi Company by using K-Means and Hierarchical Clustering of CO2 emissions levels from various car brands.

Language: Jupyter Notebook - Size: 4.33 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hugohiraoka/Credit_Card_Customer_Segmentation

Classification Model of Potential Credit Card Customers

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kumaranjalij/Flora-Genie

Flora Genie is a personalized plant recommendation system designed to help amateur gardeners select the most suitable plants for their homes or gardens.

Language: Jupyter Notebook - Size: 227 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shreyansh-2003/Hands-On-With-Machine-Learning-Algorithms

This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

tboudart/Tanzanian-Water-Pumps-Clustering-and-Classification

For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire dataset. Unfortunately, k-means clustering, DBSCAN, hierarchical clustering, nor OPTICS produced well-defined clusters. The entire dataset was therefore used for fitting classification algorithms. The two classification techniques I was responsible for were k-nearest neighbors and stacked generalization ensemble. For the latter, I combined the best models each group member developed. All the models had a hard time predicting the functional but need repair class. My best model was only able to achieve an accuracy of 76%.

Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

sdq/deepvis

machine learning algorithms in Swift

Language: Swift - Size: 1.34 MB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 56 - Forks: 11

alagoz/hge_extended

Hierarchy Generation and Exploitation through Extended LCPN Schemes

Language: Python - Size: 1.46 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sharayu-t/Clustering-World-Countries

Aim of the project is to compare different countries all over the world by implementing K-means and Hierarchical Clustering methods. The attributes for clustering are selected from the World Indicator Dataset that includes information about each country regarding its GDP, Population, Energy Usage, Mortality Rates, etc. (Created in October 2022)

Language: Jupyter Notebook - Size: 716 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

chunwangpro/Using-clustering-instead-of-classification-on-breast-cancer-dataset

Improved model performance on accuracy and NMI indicator by determining the optimal number of clusters and post-processing.

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raysas/data-mining-gene-expression

Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data

Language: R - Size: 22.9 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cbdm/Implied_Scenarios

Relevant files used for the project 'Characterization of Implied Scenarios as Families of Common Behavior'.

Language: Python - Size: 1.2 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

rimo02/ML-Notebooks

Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

juan-gamero-salinas/semioutdoor-spaces-singapore-supplementary-materials

The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ microclimate performance and clustering in tropical high-density Singapore".

Language: R - Size: 1.8 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Rahman17309/ASSIGNMENT1

EXCELR ALL ASSIGNMENTS

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chen0040/java-clustering

Package provides java implementation of various clustering algorithms

Language: Java - Size: 130 KB - Last synced at: 3 months ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 6

AbbasPak/Pattern-recognition-by-using-principal-component-analysis-PCA-

Analysing practical examples by using principal component analysis (PCA) and Clustring

Language: R - Size: 794 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

YannickKae/Statistical-Learning-based-Portfolio-Optimization

This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).

Language: R - Size: 85 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 1

PiotrTymoszuk/clustTools

Comprehensive dimensionality reduction and cluster analysis toolset

Language: R - Size: 392 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ChandraPrakash-Bathula/Hierarchical-Clustering

Hierarchical Clustering Algorithm on Wine Clustering data with dendograms visualization.

Language: Jupyter Notebook - Size: 188 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

yoshifumikusunoki/hierarchical-clustering

An implementation of hierarchical clustering.

Language: Ruby - Size: 197 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

sudarshanvats14/RFM-analysis

Doing RFM analysis on Online retail data using K-means clustering

Language: Python - Size: 226 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

abhishek-kathuria/Email-Clustering

Detection of Corporate Fraud using k-means and hierarchical clustering techniques on Enron Email dataset.

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byzhang23/TreeCorTreat

TreeCorTreat

Language: R - Size: 43.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

SriramChowdaryMogalapu/hierarchicalClustering

Hierarchial Clustering on customers data

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filyp/krakow

Well balanced hierarchical graph clustering

Language: Python - Size: 568 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

cerenyanik/Customer_Segmentation-Hierarchical_Clustering

In this Unsupervised Machine Learning Project, customers determined using the Hierarchical Clustering Model created with the Sklearn library were divided into 4 targeted segments.

Language: Jupyter Notebook - Size: 929 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HiAudrey/Clustering-Analysis

How to Make Models Perform Better? NOT JUST Basics of K-means and Hierarchical Clustering Methods!

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ahmedshahriar/PulsePoint-Data-Analytics

EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset

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vikrant8871/Data-project

In this Project we have used Hierarchy Agglomerative clustering Method on google reviews data along with telco data set.

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FreeDiscovery/jwzthreading Fork of akuchling/jwzthreading

Implementation of the JWZ threading algorithm for e-mail or newsgroup messages.

Language: Python - Size: 669 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 2

Lefteris-Souflas/Election-Classification-and-Clustering-Analysis

Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.

Language: R - Size: 587 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Hasnat-Aarif-Aslam/KMeans-Hierarchical-and-DBSCAN

In this notebook, i have tried to appy KMeans, Hierarchical and DBSCAN clustering along PCA. The dataset used is Mall_Customers. In DBSCAN, certain type of Heatmaps are used to find the Epsilon and min_samples value which have performed quite well in identifying the correct number of clusters.

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lorenzoridolfi9/Customer-Segmentation

Cluster Analysis for segmentation the customers in the shopping mall

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SiavashShams/Intelligent-Systems-Projects

Projects for the Intelligent Systems course

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VorticonCmdr/hclust

agglomerative hierarchical clustering for Node.js

Language: JavaScript - Size: 63.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sabitendu/Capstone_Project_On_Netflix_Movies_And_TV-Shows_Clustering

Explore a comprehensive analysis of Netflix's extensive collection of movies and TV shows, clustering them into distinct categories. This GitHub repository contains all the details, code, and insights into how we've organized and grouped the vast content library into meaningful clusters.

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cescedes/Clustering

UW / FDA

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krishna-chandel/Gesture-based-HCI-ML-Project

Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.

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contactrameezraja/Machine-Learning-with-Python-projects

Python code for Machine Learning Algorithms

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Divyansh900/Unsupervised-Learning-Notebooks

This repository is made following the course by Sir Jose Portilla, and focuses on unsupervised Machine Learning algorithms. I studied all these concepts in January 2024

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bcataldo3/UTSM_Unsupervised_ML

Unsupervised Machine Learning Course

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maneeshavinayak/Clustering-News-Headlines

The project groups scrapped News headlines using NLTK, K-Means clustering and Hierarchical clustering using Ward Method.

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jumanlee/UnsupervisedLearning

The main aim of this project is to conduct a comparative analysis of two similar clustering algorithms - K-means clustering and hierachical clustering, in order to identify high-risk diabetic patients. The aim is to examine how accurately these algorithms are able to segment patient data into meaningful clusters.

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