libmpikmeans 1.5-1 source package in Ubuntu
Changelog
libmpikmeans (1.5-1) unstable; urgency=low * Initial release (Closes: #622275) * debian/patches: - 0001-Properly-build-shared-and-static-libraries-programs - 0002-Drop-unused-option - 0003-Correct-command-name-in-help -- Ubuntu Archive Auto-Sync <email address hidden> Wed, 04 May 2011 09:48:39 +0000
Upload details
- Uploaded by:
- Ubuntu Archive Auto-Sync
- Uploaded to:
- Oneiric
- Original maintainer:
- Christian Kastner
- Architectures:
- any
- Section:
- libs
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Precise | release | universe | libs |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
libmpikmeans_1.5.orig.tar.gz | 29.3 KiB | a3ed92fcc23d0c155af765a95634530c8152b0068364592aa3db842ad0fb4d0e |
libmpikmeans_1.5-1.debian.tar.gz | 6.9 KiB | d2d628b5a08d9dfb73a43d88b6ffa1829c3e6d28624caaabb3c21036b1c10695 |
libmpikmeans_1.5-1.dsc | 2.0 KiB | e88390b04a7db40ba8a21bc9e4f79788173bde2afc2cbb5d2ec77c9dbe5c61e3 |
Binary packages built by this source
- libmpikmeans-dbg: No summary available for libmpikmeans-dbg in ubuntu quantal.
No description available for libmpikmeans-dbg in ubuntu quantal.
- libmpikmeans-dev: No summary available for libmpikmeans-dev in ubuntu quantal.
No description available for libmpikmeans-dev in ubuntu quantal.
- libmpikmeans1: 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.
- mpikmeans-tools: No summary available for mpikmeans-tools in ubuntu oneiric.
No description available for mpikmeans-tools in ubuntu oneiric.
- python-mpikmeans: 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.