Clustering and Segmentation Software

• BayesiaLab, includes Bayesian classification algorithms for data segmentation and uses Bayesian networks to automatically cluster the variables.
• ClustanGraphics3, hierarchical cluster analysis from the top, with powerful graphics
• CViz Cluster Visualization, for analyzing large high-dimensional datasets; provides full-motion cluster visualization.
• IBM Intelligent Miner for Data, includes 2 clustering algorithms
• Neusciences aXi.Kohonen, ActiveX Control for Kohonen Clustering, includes a Delphi interface.
• PolyAnalyst, offers clustering based on Localization of Anomalies (LA) algorithm.
• StarProbe, cross-platform, very fast on big data, star schema support, special tools & features for data with rich categorical dimensional information.
• Visipoint, Self-Organizing Map clustering and visualization.

• Autoclass C, an unsupervised Bayesian classification system from NASA, available for Unix and Windows
• CLUTO, provides a set of partitional clustering algorithms that treat the clustering problem as an optimization process
• Databionic ESOM Tools, a suite of programs for clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM).
• David Dowe Mixture Modeling page for modeling statistical distribution by a mixture (or weighted sum) of other distributions.
• MCLUST/EMCLUST, model-based cluster and discriminant analysis, including hierarchical clustering. In Fortran with interface to S-PLUS.
• PermutMatrix, graphical software for clustering and seriation analysis, with several types of hierarchical cluster analysis and several methods to find an optimal reorganization of rows and columns.
• PROXIMUS, a tool for compressing, clustering and discovering patterns in discrete datasets.
• Snob, MML (Minimum Message Length)-based program for clustering
• SOM in Excel, from Angshuman Saha
• StarProbe, web-based multi-user server available for academic institutions.