Multi Feature Selection with ensemble
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Java GUI to analyze one (or more, in batch mode) datasets with several feature selection methods at the same time and also performing an "ensemble" analysis. It can be easily extended to include any feature selection algorithm.
Multi Feature Selection with ensemble License - GNU General Public License (GPL)
Free download from Shareware Connection - Java GUI to analyze one (or more, in batch mode) datasets with several feature selection methods at the same time and also performing an "ensemble" analysis.
Version: 0.1b | Size: 117 KB | Platform: WinOther
Released Date: | Rating: 0 | Title: Multi Feature Selection with ensemble
Author Url: http://multifs-gents.sourceforge.net
Program Info Url: http://multifs-gents.sourceforge.net
Download Url: http://sourceforge.net/projects/multifs-gents/files/latest/download?source=directory
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Computational Statistics: Feature Selection, Regularization, and Shrinkage - MATLAB code for "Computational Statistics: Feature Selection, Regularization, and Shrinkage"
Feature selection using fuzzy entropy measures and similarity - This code removes a feature from data file which it considers bearing least amount of relevant information.
RapidMiner Feature Selection Extension - This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.
mRMR Feature Selection (using mutual information computation) - This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003)
minimum-redundancy maximum-relevance feature selection - Two source code files of the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003)
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