There are 2 repositories under clustering-evaluation topic.
A high performance implementation of HDBSCAN clustering.
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.
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.
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
PSO-Clustering algorithm [Matlab code]
A high performance implementation of Reciprocal Agglomerative Clustering in C++
Simple Extended BCubed implementation in Python for clustering evaluation
Explore and share your scRNAseq clustering results
A framework for benchmarking clustering algorithms
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
Graph Agglomerative Clustering Library
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling of Clustering (Community Detection) Algorithms Considering Overlaps (Covers)
Generalized Conventional Mutual Information (GenConvMI) - NMI for overlapping (soft, fuzzy) clusters (communities), compatible with standard NMI, pure C++ version (single executable)
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
Overlapping Normalized Mutual Information and Omega Index evaluation for the overlapping community structure produced by clustering algorithms
Interactive HTML canvas based implementation of k-means.
Optimize clustering labels using Silhouette Score.
This package contains the code for executing clustering validity indices in Spark. The package includes BD-Silhouette, BD-Dunn, Davies-Bouldin and WSSSE indices.
S_Dbw validity index. Adapted for DBSCAN (and similar)
This package contains the code for calculating external clustering validity indices in Spark. The package includes Chi Index among others.
Density-Based Clustering Validation
CVIK is a Toolbox for the automatic determination of the number of clusters on data clustering problems
Internal Validity Indexes for Fuzzy and Possibilistic Clustering
Benchmarking framework based on Pareto front concept
MapReduce, Spark, Hadoop, PostgreSQL, Cluster Management
Clustering validation with ROC Curves
Applied Data Science Capstone project offered by IBM.
This repository contains mall customers clustering analysis. This repository also uses SAS Enterprise Miner to perform clustering and identify each cluster's characteristics. Full explanations about this repository can be seen on: https://medium.com/@caesarmario/mall-customers-clustering-analysis-da594bd2718b