clusteringfittingintegrationinterpolationjavaleast-squaresmathoptimizationpolynomialsolverstattransforms
aad194a346
Implementation of Kohonen's Self-Organizing Feature Map (SOFM). New package "o.a.c.m.ml.neuralnet" contains base functionality for implementing different map types, i.e. methods that project a high-dimensional space onto one with a low dimension (typically 1D or 2D). The SOFM-specific code is in "o.a.c.m.ml.neuralnet.sofm". git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@1557267 13f79535-47bb-0310-9956-ffa450edef68 |
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doc/release | ||
siteMods | ||
src | ||
LICENSE.txt | ||
NOTICE.txt | ||
PROPOSAL.html | ||
RELEASE-NOTES.txt | ||
build.xml | ||
checkstyle.xml | ||
doap_math.rdf | ||
findbugs-exclude-filter.xml | ||
license-header.txt | ||
math-RC.sh | ||
math-pre-RC.sh | ||
pom.xml | ||
test-jar.xml |