https://github.com/milaan9/clustering_algorithms_from_scratch

Implementing Clustering Algorithms from scratch in MATLAB and Python

cluster cluster-analysis clustering-algorithms clustering-analysis clustering-benchmark clustering-methods clustering-models machine-learning-algorithms subspace-clustering tutor-milaan9 unsupervised-learning

Last synced: 07 Apr 2025

https://github.com/omadson/fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.

clustering clustering-algorithm clustering-methods clusterization fuzzy fuzzy-clustering fuzzy-cmeans-clustering hacktoberfest

Last synced: 04 Apr 2025

https://github.com/lcsb-biocore/gigasom.jl

Huge-scale, high-performance flow cytometry clustering in Julia

artifical-neural-network artificial-intelligence clustering clustering-methods cytof cytometry flow-cytometry huge-scale immunology large-scale mass-cytometry neural-networks self-organizing-map som

Last synced: 11 Apr 2025

https://github.com/philips-software/latrend

An R package for clustering longitudinal datasets in a standardized way, providing interfaces to various R packages for longitudinal clustering, and facilitating the rapid implementation and evaluation of new methods

cluster-analysis clustering-evaluation clustering-methods data-science longitudinal-clustering longitudinal-data mixture-models r r-package time-series-analysis

Last synced: 13 Apr 2025

https://github.com/lettier/interactivekmeans

Interactive HTML canvas based implementation of k-means.

ai cluster cluster-analysis clustering clustering-algorithm clustering-evaluation clustering-methods data-science interactive-kmeans kmeans kmeans-algorithm kmeans-clustering machine-learning machine-learning-algorithms scikit-learn

Last synced: 26 Mar 2025

https://github.com/thieu1995/metacluster

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

classification clustering-methods genetic-algorithm global-search k-center-problem kmeans kmeans-clustering mealpy metaheuristic-based-clustering particle-swarm-optimization unsupervised-learning whale-optimization-algorithm

Last synced: 20 Nov 2024

https://github.com/trainingbypackt/applied-unsupervised-learning-with-r

Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

clustering clustering-methods market-segmentation unsupervised-learning

Last synced: 10 Apr 2025

https://github.com/davidemiceli/watch-complexity

A package to understand and analyze complex networks and more in general complex data. It is a collection of clustering techniques inspired by social science and communication theories.

ai artificial-intelligence clustering-methods communication-science computational-social-science datascience humanities machine-intelligence machine-learning ml network-analysis research socialsciences sociology

Last synced: 14 Apr 2025

https://github.com/udityamerit/machine-learning-for-beginners

artificial-intelligence classification classification-algorithm clustering clustering-algorithm clustering-methods machine-learning machine-learning-algorithms matplotlib numpy pandas python regression-algorithms regression-analysis regression-models scikit-learn scipy tensorflow

Last synced: 02 Feb 2025

https://github.com/adriacabeza/graphclustering

:milky_way: Method to partition large networks into communities

clustering-methods graphs large-network python3 spectral-clustering

Last synced: 28 Feb 2025

https://github.com/jesussantana/data-science-with-python-it-academy

Learn how to extract value from data by ingesting, transforming, storing, analyzing, and visualizing data

classification-model clustering-methods dash data-analysis data-mining data-science database machine-learning matplotlib mongodb numpy pandas plotly python3 regression-models seaborn sklearn sql web-scraping

Last synced: 01 May 2025

https://github.com/kmbuki/cluster_analysis

Cluster analysis - using different approaches

cluster-analysis clustering-application clustering-methods dendextend iris iris-data iris-dataset iris-flower-data kmeans kmeans-clustering-algorithm python r

Last synced: 11 Mar 2025

https://github.com/mohammadvhossein/ml-gym

The ML-GYM repository showcases machine learning projects using **scikit-learn**, covering classification, regression, and clustering. It offers educational resources for beginners and practical examples for experienced users, complete with detailed instructions.

classification-algorithms clustering-methods cross-validation data-preprocessing data-science decision-trees feature-engineering machine-learning model-evaluation neural-networks python-programming random-forests regression-techniques scikit-learn supervised-learning unsupervised-learning

Last synced: 10 Mar 2025

https://github.com/bjam24/bank_customer_segmentation_methods

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

affinity-propagation agglomerative-clustering aic bank-customer-analysis bic biplot clustering clustering-algorithm clustering-methods dbscan-clustering dendrogram finance finances gaussian-mixture-models kmeans-clustering pca python segmentation silhouette-score spectral-clustering

Last synced: 24 Mar 2025

https://github.com/sirinemaaroufi/ml_clustering_explorations

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

clustering-methods comparison dbscan-clustering dimentionality-reduction gmm-clustering hierarchical-clustering kmeans-clustering ml pca python

Last synced: 08 Apr 2025

https://github.com/oscartma/customer-segmentation

Le clustering consiste à regrouper les données en clusters, où les objets d'un même groupe sont plus similaires entre eux qu'avec ceux des autres groupes.

clustering-methods dbscan k-means pca

Last synced: 02 Apr 2025

https://github.com/zcebeci/vatana

Visual Assessment of Clustering Tendency for Finding the Number of Clusters in Datasets

assessment binary-image cluster cluster-analysis clustering clustering-algorithm clustering-analysis clustering-evaluation clustering-methods count-blocks dissimilarity distance-matrix fuzzy-clustering k-means-clustering number-of-clusters partitional-clustering partitioning soft-clustering vat visual

Last synced: 12 Jun 2025

https://github.com/zcebeci/odetector

Outlier Detection Using Cluster Analysis

anomaly-detection cluster-analysis clustering clustering-methods data datapreparation datapreprocessing exception-handling fcm fraud-detection fuzzy-clustering novelty-detection outlier-detection outlier-removal outliers partitioning pcm r surprise-exploration

Last synced: 12 Jun 2025

https://github.com/kshitizrohilla/mall-customer-segmentation-using-k-means-clustering-algorithm

This project aims to perform customer segmentation on a Mall customer dataset using the K-Means clustering algorithm. The goal of this project is to cluster the customers based on their purchasing behavior and demographic characteristics.

cluster clustering clustering-algorithm clustering-methods customer-segmentation customer-segmentation-analysis k-means-clustering k-means-clustering-model k-means-clustering-segmentation k-means-clustering-sklearn mall-customer-segmentation

Last synced: 31 Mar 2025