This is a list of selected links to feature selection related resources (for FS related literature go to References). Please note that the list almost certainly is incomplete (suggestions welcome).
Implementations of FS methods in Matlab can be found at
Implementations of FS methods in C/C++ or Java can be found at
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WWW Weka: Waikato University's Data Mining Software in Java -
WWW Infosel++: Information Based Feature Selection C++ Library -
WWW sgi's MLC++ library for supervised machine learning -
WWW mRMR (minimum Redundancy Maximum Relevance Feature Selection) software -
WWW Tooldiag - Pattern Recognition Toolbox -
WWW Boston University's Rankgene: a program to rank genes from expression data -
WWW orange - Open source data visualization and analysis -
WWW Rapid-I's RapidMiner software -
WWW Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) -
WWW Pattern Classification Program -
WWW Pattern Recognition Department pages at UTIA (obsolete)
See also
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WWW Feature Selection at Arizona State University -
WWW NIST Guide to Available Mathematical Software -
WWW Steven Skiena's Algorist -
WWW JMLR Machine Learning Open Source Software -
WWW Martin Sewell's Feature Selection page -
WWW Support Vector Machines Portal -
WWW KDnuggets - Data Mining and Analytics Resources -
WWW mloss.org - Machine Learning Open Source Software -
WWW Bart Goethals's Pattern Mining page -
WWW David W. Aha's Machine Learning page