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Source: libhac-java
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Tim Booth <tbooth@ceh.ac.uk>,
Andreas Tille <tille@debian.org>
Section: java
Priority: optional
Build-Depends: debhelper (>= 9),
default-jdk,
javahelper
Build-Depends-Indep: default-jdk-doc
Standards-Version: 3.9.5
Vcs-Browser: http://anonscm.debian.org/viewvc/debian-med/trunk/packages/libhac-java
Vcs-Svn: svn://anonscm.debian.org/debian-med/trunk/packages/libhac-java
Homepage: http://sape.inf.usi.ch/hac
Package: libhac-java
Architecture: all
Depends: ${misc:Depends},
${java:Depends}
Suggests: libhac-java-doc
Description: hierarchical agglomerative clustering
Hac is a simple library for hierarchical agglomerative clustering. The goal of
Hac is to be easy to use in any context that might require a hierarchical
agglomerative clustering approach. You can use Hac by bundling Hac with your
application, and by implementing two interfaces:
* Experiment (to tell Hac what to cluster), and
* DissimilarityMeasure (to tell Hac how to compute the dissimilarity between
two observations).
Package: libhac-java-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Suggests: libhac-java
Description: API documentation for hierarchical agglomerative clustering
Hac is a simple library for hierarchical agglomerative clustering. The goal of
Hac is to be easy to use in any context that might require a hierarchical
agglomerative clustering approach. You can use Hac by bundling Hac with your
application, and by implementing two interfaces:
* Experiment (to tell Hac what to cluster), and
* DissimilarityMeasure (to tell Hac how to compute the dissimilarity between
two observations).
.
This package contains the API documentation of libhac-java.
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