josemarialuna

Chi-Index

Clustering Validity Index based on Chi Square as Python package

ClusterIndices

This package contains the code for executing clustering validity indices in Spark. The package includes BD-Silhouette, BD-Dunn, Davies-Bouldin and WSSSE indices.

ExternalValidity

This package contains the code for calculating external clustering validity indices in Spark. The package includes Chi Index among others.

RandomClustersGenerator

📊 Python tool for creating datasets with clusters using a normal distribution. Customize clusters, significant columns, and add variability with dummy columns. Ideal for testing clustering algorithms.

ClassificationPython

CreateRandomDataset

This package contains the code for generating Big Data random datasets in Spark.

smallDataIndex

This package contains the code for executing clustering validity indices in Java by using K-means from Weka. The package includes the following clustering validity indices: Silhouette, Dunn, BD-Silhouette, BD-Dunn, Davies-Bouldin, Calinski-Harabasz, MaximumDiameter, SquaredDistance, AverageDistance, AverageBetweenClusterDistance, MinimumDistance.

BasicSpark

linkage

clusterEmpleo

Clustering-Datasets

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

electric

josemarialuna

matrixGeneration

MethodComparisonsInPython

Friedman tests for comparing multiple methods across datasets in python

SeminarioDeRiquelme

Clustering

SurvivalAnalysis