  |
Machine Learning Library in C++ - http://www.sgi.com/tech/mlc/
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 instructions. |
| |
Model-Based Classification Software - http://www.stat.washington.edu/fraley/mclust/soft.shtml
Model based clustering and discriminant analysis, including hierarchical clustering and EM. Developed at University of Washington. |
| |
http://cslab.anu.edu.au/ml/dm/dm_software.html - http://cslab.anu.edu.au/ml/dm/dm_software.html
Written in Python, the toolbox handles caching of database queries and parallelism within a collection of independent queries. Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions - mainly domain and data collection dependent - for complex and time consuming data mining tasks. GNU/GPL. From the Computer Sciences Laboratory of The Australian National University |
| |
PAFI - Pattern Finding Toolkit - http://glaros.dtc.umn.edu/gkhome/pafi/overview/
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. |
| |
FOIL and C4.5 - http://www.rulequest.com/Personal/
Source code for decision tree algorithms from Ross Quinlan's homepage, available free for download. |
| |
http://www.csse.monash.edu.au/~dld/Snob.html - http://www.csse.monash.edu.au/~dld/Snob.html
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. Links to related research papers and software. |
| |
StatLib - XlispStat Archive - http://lib.stat.cmu.edu/xlispstat/
Environment for statistical computing and dynamic graphics based on Lisp. Contains contributed code and submission instructions. |
| |
CLUTO - Clustering Toolkit - http://glaros.dtc.umn.edu/gkhome/views/cluto
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. |
| |
WinMine Toolkit Home Page - http://research.microsoft.com/~dmax/WinMine/tooldoc.htm
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. |
| |
MPCA Software - http://cosco.hiit.fi/search/MPCA/
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. |
| |
QuickMiner - http://quickminer.sourceforge.net/
Open Source creation of a data mining C++ procedure library. Initially focused on mining generalised association rules and generalised sequential patterns |
 |
XELOPES Data Mining Library - http://www.prudsys.com/Produkte/Algorithmen/Xelopes/
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 grouping. XELOPES-C++ algorithms: SVMs, decision trees. [GPL] |
| |
CART - Salford Systems - http://www.salford-systems.com/products-cart.html
A decision tree tool that automatically sifts large, complex databases, searching for and isolating significant patterns and relationships. Offers free limited capability demo for download, product features, applications, user feedback, and associated books. |
| |
XmdvTool Home Page - http://davis.wpi.edu/~xmdv/
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 coordinates, and dimensional stacking. |