clustering-evaluation

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

python clustering gaussian-mixture-models clustering-algorithm dbscan kmeans-clustering clustering-evaluation hierarchical-models hierarchical-clustering dbscan-clustering kmeans-algorithm clustering-coefficient clustering-validation clustering-methods dendogram dbscan-algorithm kmeans-analysis dbscan-clusters dbscan-clustering-algorithm k-mode

UpdatedAug 7, 2024
Jupyter Notebook

thieu1995 /permetrics

Star73

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

regression performance-metrics classification evaluation-metrics clustering-evaluation rmse classification-report mae relative-error coefficient-of-determination regression-methods symmetric-mean-absolute-percentage nash-sutcliffe-efficiency willmott-index kling-gupta-efficiency deviation-of-runoff-volume

UpdatedSep 3, 2024
Python

iralabdisco /pso-clustering

Star70

PSO-Clustering algorithm [Matlab code]

tutorial clustering k-means clustering-algorithm clustering-evaluation particle-swarm-optimization pso pso-clustering hybrid-pso

UpdatedSep 26, 2021
MATLAB

porterehunley /RACplusplus

Star56

A high performance implementation of Reciprocal Agglomerative Clustering in C++

machine-learning clustering machine-learning-algorithms cluster-analysis clustering-algorithm clustering-evaluation

UpdatedSep 17, 2023
Jupyter Notebook

pedrodbs /Aglomera

Star51

A hierarchical agglomerative clustering (HAC) library written in C#

machine-learning clustering clustering-evaluation hierarchical-clustering

UpdatedDec 8, 2022
C#

BaderLab /scClustViz

Star50

Explore and share your scRNAseq clustering results

r ui shiny scrna-seq single-cell differential-expression clustering-evaluation scrnaseq scrna-seq-analysis

UpdatedSep 6, 2023
R

hhromic /python-bcubed

Star50

Simple Extended BCubed implementation in Python for clustering evaluation

python clustering-evaluation bcubed

UpdatedJan 29, 2020
Python

gagolews /clustering-benchmarks

Star38

A framework for benchmarking clustering algorithms

benchmarking data-science data machine-learning clustering cluster dataset datasets cluster-analysis ground-truth clustering-evaluation benchmark-suite clustering-algorithms clustering-benchmarks

UpdatedApr 8, 2025
Python

philips-software /latrend

Star31

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

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

UpdatedJan 6, 2025
R

waynezhanghk /gacluster

Star22

Graph Agglomerative Clustering Library

clustering community-detection mnist k-means unsupervised-learning dbscan clustering-evaluation hierarchical-clustering graph-clustering spectral-clustering spectral-clustering-algorithm agglomerative-clustering fashion-mnist image-clustering deep-clustering

UpdatedJul 4, 2019
MATLAB

eXascaleInfolab /clubmark

Star21

Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)

benchmark-framework evaluation-metrics clustering-evaluation clustering-algorithms-benchmarking community-detection-evaluation parallel-benchmarking algorithm-profiling overlapping-clusteriing-evaluation

UpdatedMar 3, 2021
Python

eXascaleInfolab /GenConvNMI

Star20

Generalized Conventional Mutual Information (GenConvMI) - NMI for overlapping (soft, fuzzy) clusters (communities), compatible with standard NMI, pure C++ version (single executable)

clustering-evaluation benchmark-measures nmi quality-measures covers-evaluation overlapping-community-evaluation accuracy-metrics

UpdatedOct 20, 2020
C++

eXascaleInfolab /xmeasures

Star20

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

ari clustering-evaluation benchmark-measures nmi f1-score quality-measures omega-index covers-evaluation extrinsic-quality-measures f-measure fuzzy-adjusted-rand-index overlapping-community-evaluation accuracy-metrics