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Source: libmpikmeans
Section: libs
Priority: extra
Maintainer: Christian Kastner <ckk@debian.org>
Build-Depends:
debhelper (>= 9),
dh-python,
python-all-dev (>= 2.6.6-3~),
cython,
python-numpy,
libboost-dev,
libboost-filesystem-dev,
libboost-program-options-dev,
Standards-Version: 3.9.8
Homepage: http://mloss.org/software/view/48/
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/libmpikmeans.git
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/libmpikmeans.git
X-Python-Version: >= 2.5
Package: libmpikmeans-dev
Section: libdevel
Architecture: any
Multi-Arch: same
Depends:
${misc:Depends},
libmpikmeans1 (= ${binary:Version}),
Description: Development libraries and header files for MPIKmeans
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the header files and static libraries.
Package: libmpikmeans1
Architecture: any
Multi-Arch: same
Pre-Depends:
${misc:Pre-Depends},
Depends:
${shlibs:Depends},
${misc:Depends},
Suggests:
mpikmeans-tools (= ${binary:Version}),
Description: Fast Library for k-means Clustering
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the shared libraries.
Package: mpikmeans-tools
Architecture: any
Multi-Arch: foreign
Depends:
${shlibs:Depends},
${misc:Depends},
libmpikmeans1 (= ${binary:Version}),
Description: Standalone applications for MPIKmeans
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the standalone applications.
Package: python-mpikmeans
Section: python
Architecture: any
Depends:
${python:Depends},
${shlibs:Depends},
${misc:Depends},
libmpikmeans1 (= ${binary:Version}),
python-numpy,
Description: Python bindings for MPIKmeans
This library uses an algorithm that yields the very same solution as standard
k-means, even after each iteration. However, it uses triangle inequalities, and
is much faster.
.
Note: MPI here does not refer to the Message Passing Interface; rather, it is
an acronym for Max Planck Institute, where this algorithm was developed.
.
This package contains the Python bindings. Both the old, ctypes-based and the
new, Cython-based interfaces are provided.
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