RSS Feed for "MPIKmeans"-
MPIKmeans 1.2
by pgehler - September 2, 2008, 18:17:49 CET [
]
6370 views (17 today), 1294 downloads ( 4 today ), 3 comments, 1 subscription
- Description:
A K-means clustering implementation for Python, Matlab and C. This algorithm yields the very same solution as standard Kmeans, even after each iteration. However it uses some triangle inequalities and stores some distances. Therefore it is MUCH faster than standard Kmeans but uses more memory. See the corresponding paper for more details if you are interested.
- BibTeX Entry:
- Download
- Corresponding Paper BibTeX Entry:
- Download
- URL:
- Project Homepage
- Supported Operating Systems:
- Agnostic
- Tags:
- Clustering, Kmeans
- Archive:
- download here
Comments
-
- Peter Gehler (on September 3, 2008, 09:12:40)
You can als run "make shared" and use the python version or bind your own C code.
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- Jerry (on October 16, 2008, 14:18:22)
"help mpi_kmeans_mex" does not work! I think there is no mpi_kmeans_mex.m file in the Archive:)
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Project details for MPIKmeans
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Details
- Version:
- 1.2
- Submitter:
- pgehler
- Author(s):
- Peter Gehler
- Posted:
- 12 December 2007
- Last Updated:
- 2 September 2008
- Open Source License:
- apache
- Programming Language(s):
- python,matlab,c
I try to run makefile (from linux KUBUNTU) but it seems like it requires MATLAB installed. Is it true?