By David Chickering at Microsoft Research. The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts. http://research.microsoft.com/~dmax/winmine/tooldoc.htm
A public-domain software package for the interactive visual exploration of multivariate data sets. It is available on all UNIX platforms which support XR4 or higher. The current version of the software (3.1) supports scatterplots, star glyphs, parallel co http://davis.wpi.edu/~xmdv/
MLC++ is a standard C++ library for supervised machine learning, with back-end and front-end tools for data mining tasks like Decision Trees, and Clustering. Information on legal issues, mailing lists, history, standards, platform support, and download in http://www.sgi.com/tech/mlc/
Platform- and data-source-independent library for embedded data mining based on the CWM/OMG and other data mining standards. XELOPES-Java algorithms: SVMs, market basket analysis, sequence analysis, decision trees, cluster analysis, multidimensional group http://www.prudsys.com/Produkte/Algorithmen/Xelopes/
A Software system for data mining based on rough set theory. GUI based operation on MS Windows platforms, with a wide variety of algorithms. Information on features, documentation, utilities, and upcoming releases. http://www.idi.ntnu.no/~aleks/rosetta/
GPL C/C++ software for data analysis of discrete data using principal/independent component methods. Examples are DPCA, LDA, GaP (like PLSI and NMF). Targetted at text, with MPI and multithreading. http://cosco.hiit.fi/search/MPCA/
A freely available software toolkit for clustering low- and high-dimensional data sets. It is well-suited for clustering data sets arising in many areas including information retrieval, customer purchasing transactions, science, and biology. http://www.cs.umn.edu/~karypis/cluto
Environment for statistical computing and dynamic graphics based on Lisp. Contains contributed code and submission instructions. http://lib.stat.cmu.edu/xlispstat/
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