CLUTO - Software for Clustering High-Dimensional Datasets
History of Changes
| Ver: 2.1.2a, 1/9/07 |
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- Included build for Windows X86_64.
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| Ver: 2.1.2, 10/18/06 |
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- Eliminated the limits on the length of the line of the input files.
- Fixed spelling errors in the -help for vcluster/scluster.
- Eliminated the 32 bit limit on the size of the dynamically allocated
memory. CLUTO can now take advantage of 64 bit address space machines.
- Builds for OSX (powerpc and i386) and Linux x86_64.
- Reduced memory requirements for post-clustering reordering of the
cluster numbers.
- Performance improvements for some hierarchical agglomerative schemes.
- Experimental support for multi-core processors and SMPs using OpenMP
for MS Windows and Linux-i686.
- Redesigned the dynamic memory allocation scheme to be based on
Doug Lea's malloc code.
- An experimental set of new API calls is being provided that gracefully
cleanup all internally allocated memory in case of critical errors
and returns a code to the calling program indicating the type of the
problem.
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| Ver: 2.1.1, 11/27/03 |
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- Fixed problems with the postscript output driver and newer versions of
ghostscript.
- Fixed problems with incorrect bitmap sizes for gif output format.
- Fixed various font problems with the xfig output format.
- Fixed a bug associated with incorrectly computing the similarities in
the hierarchical tree files.
- Corrected the ISIM values reported by the scluster program.
- Fixed a bug in -showsummaries=itemsets.
- Corrected the information displayed during -help for the -showsummaries
option.
- Reduced the memory requirements of the rb-based clustering methods.
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| Ver: 2.1, 8/26/02 |
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- Added an agglomerative algorithm that uses partitional-clustering to
bias the agglomeration.
- Added a -showsummaries option for analyzing the co-occurrence of the
key features within the objects of each cluster.
- Added similarity function based on extended Jackard coefficient
for graphs.
- Added a cluster-selection method for repeated bisecting clustering
that is based on the cardinality of the cluster's sub-space.
- Fixed a major bug with Euclidean distance calculations on sparse
datasets.
- Streamlined some of the parameters of vcluster & scluster.
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| Ver: 2.0, 4/22/02 |
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- The new clustering programs are now called vcluster & scluster
- Added graph-partitioning based clustering algorithms
- Expanded all algorithms to operate on the object-to-object similarity graph.
- Added -agglofrom and -agglocrfun functionality for hybrid clustering
- Fixed numerous bugs :).
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| Ver: 1.5, 1/8/02 |
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- Added a set of fully functional agglomerative clustering algorithms.
- Added support for hybrid partitional and agglomerative clustering.
- Added an extensive set of cluster visualization capabilities.
- Added support for correlation coefficient based similarities.
- Added support for dense input files.
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