S_Dbw validity index

An R package containing dissimilarity measures and aggregation functions for time series, plus cluster validity indices. Part of the code for the paper "Understanding the Effects of Temporal Energy-Data Aggregation on Clustering Quality".

A new fast method for building multiple consensus trees using k-medoids

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Internal Cluster Validity Indices in python, compatible with time-series data

A collection of fuzzy cluster validity indices in the R language.

Partition relevance analysis with the reduction step

This folder contains code for the paper titled "Information maximization-based clustering of histopathology images using deep learning".

A clustering evaluation framework that combines micro- and macro-averaged silhouette scores into a composite metric using statistical weighting.

Generate a Gaussian dataset and attempt to cluster it and see if the clustering matches the original labels of the generated dataset.

This repository contains the source code associated with the paper titled "Implementation of a conditional latent diffusion-based generative model to synthetically create unlabeled histopathological images".

A Java program for clustering data with the k-means algorithm.

Algorithms for checking the accuracy of a clustering result with known classes, computing cluster validity indices, and generating plots for comparing them. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage).