CLUTO 2.1.2a

CLUTO is a software package for clustering low- and high-dimensional datasets.
CLUTO is a software package for clustering low- and high-dimensional datasets and for analyzing the characteristics of the various clusters. The project is well-suited for clustering data sets arising in many diverse application areas including information retrieval, customer purchasing transactions, web, GIS, science, and biology.

CLUTO's distribution consists of both stand-alone programs and a library via which an application program can access directly the various clustering and analysis algorithms implemented in CLUTO.

Here are some key features of "CLUTO":

· Multiple classes of clustering algorithms:
partitional, agglomerative, & graph-partitioning based.
· Multiple similarity/distance functions:
Euclidean distance, cosine, correlation coefficient, extended Jaccard, user-defined.
· Numerous novel clustering criterion functions and agglomerative merging schemes.
· Traditional agglomerative merging schemes:
single-link, complete-link, UPGMA
· Extensive cluster visualization capabilities and output options:
postscript, SVG, gif, xfig, etc.
· Multiple methods for effectively summarizing the clusters:
most descriptive and discriminating dimensions, cliques, and frequent itemsets.
· Can scale to very large datasets containing hundreds of thousands of objects and tens of thousands of dimensions.

What's New in This Release:

· Support for Windows X86_64 was added.

last updated on:
January 15th, 2007, 2:35 GMT
license type:
GPL (GNU General Public License) 
developed by:
George Karypis
ROOT \ Science and Engineering \ Visualization
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