josemarialuna

BasicSpark

Chi-Index

Clustering Validity Index based on Chi Square as Python package

ClassificationPython

clusterEmpleo

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.

CreateRandomDataset

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

ExternalValidity

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

linkage

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.

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.

josemarialuna/Chi-Index

Clustering Validity Index based on Chi Square as Python package

josemarialuna/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.

josemarialuna/ExternalValidity

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

josemarialuna/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.

josemarialuna/ClassificationPython

josemarialuna/CreateRandomDataset

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

josemarialuna/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.

josemarialuna/BasicSpark

josemarialuna/linkage

josemarialuna/clusterEmpleo

josemarialuna/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.

josemarialuna/electric

josemarialuna/josemarialuna

josemarialuna/matrixGeneration

josemarialuna/MethodComparisonsInPython

Friedman tests for comparing multiple methods across datasets in python

josemarialuna/SeminarioDeRiquelme

Clustering

josemarialuna/SurvivalAnalysis