Uses the Minimum Message Length (MML) principle to do mixture modeling. Mixture modeling concerns modeling a statistical distribution by a mixture of other distributions, and is also known as unsupervised concept learning in Artificial Intelligence. L...

A Microsoft Access application designed to provide tools to explore your databases with graphs and queries. It is also a quick way to generate/prototype Access Graphs without running the Wizards.

Includes source code, related research papers and associated work.

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 downloa...

Model based clustering and discriminant analysis, including hierarchical clustering and EM. Developed at University of Washington.

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.

A freely available software toolkit for finding frequent patterns in diverse datasets. It contains highly efficient algorithms for finding patterns in transactional, sequential, and graph datasets.

Open Source creation of a data mining C++ procedure library. Initially focused on mining generalised association rules and generalised sequential patterns

Modelling tool that analyzes data generating classification, regression or class probability prediction models.

Environment for statistical computing and dynamic graphics based on Lisp. Contains contributed code and submission instructions.