f5a6dd68e4
PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: * Fisher's linear discriminant * dimensionality reduction using Singular Value Decomposition * Principal Component Analysis * feature subset selection * Bayes error estimation * parametric classifiers (linear and quadratic) * least-squares (pseudo-inverse) linear discriminant * k-Nearest Neighbor (k-NN) * neural networks (Multi-Layer Perceptron (MLP)) * Support Vector Machine (SVM) algorithm * SVM, MLP and k-NN model selection * cross-validation * bagging (committee) classification
18 lines
434 B
Makefile
18 lines
434 B
Makefile
# $NetBSD: Makefile,v 1.1.1.1 2010/09/02 11:56:15 jihbed Exp $
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#
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DISTNAME= pcp-2.2
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CATEGORIES= math
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MASTER_SITES= http://garr.dl.sourceforge.net/project/pcp/pcp/2.2/
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MAINTAINER= jihbed.research@gmail.com
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HOMEPAGE= http://pcp.sourceforge.net/
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COMMENT= Machine learning program for pattern classification
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LICENSE= mit
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PKG_DESTDIR_SUPPORT= user-destdir
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GNU_CONFIGURE= yes
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USE_LANGUAGES= c c++ fortran
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.include "../../mk/bsd.pkg.mk"
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