Top 3 Most Popular Clustering Softwares | May 2024

1. KEEL

KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It contains a big collection of classical knowledge extraction algorithms, preprocessing techniques (training set selection, feature selection, discretization, imputation methods for missing values, etc.),...... TpSort Score | 791,000

2. ELKI

ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.Its focus is particularly on clustering and outlier detection methods, in contrast to many other data mining...... TpSort Score | 26,800

3. GridGain In-Memory Data Fabric

The GridGain In-Memory Data Fabric is a proven software solution, which enables high-performance transactions, real-time streaming and fast analytics in a single, comprehensive data access and processing layer. The In-Memory Data Fabric is designed to easily power both existing and new applications in a distributed, massively parallel architecture on affordable,...... TpSort Score | 5,260