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About:
PCP (Pattern Classification Program) is a machine learning
program for supervised classification of
patterns. It runs in interactive and batch modes, and
implements the following machine learning algorithms and
methods: k-means clustering, Fisher's linear discriminant,
dimension reduction using Singular Value Decomposition,
Principal Component Analysis, feature subset selection,
Bayes error estimation, parametric classifiers (linear and
quadratic), pseudo-inverse linear discriminant, k-Nearest
Neighbor method, neural networks, Support Vector
Machine algorithm (SVM), model selection for SVM, cross-validation, and bagging
(committee)
classification.
Author:
ljubomir [contact developer]
Homepage:
http://pcp.sourceforge.net
Tar/GZ:
http://prdownloads.sourceforge.net/pcp/pcp-2.2.tar.gz?download
Zip:
http://prdownloads.sourceforge.net/pcp/pcp-2.2.zip?download
Trove categories:
[change]
Dependencies:
[change]
No dependencies filed
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» Rating:
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» Vitality: 0.00% (Rank 10045)
» Popularity: 1.09% (Rank 5242)
 
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Record hits: 8,256
URL hits: 3,575
Subscribers: 37
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