Accession Number:

ADA439508

Title:

CLUTO - A Clustering Toolkit

Descriptive Note:

Technical rept.

Corporate Author:

MINNESOTA UNIV MINNEAPOLIS DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

2002-04-23

Pagination or Media Count:

66.0

Abstract:

Clustering algorithms divide data into meaningful or useful groups, called clusters, such that the intra-cluster similarity is maximized and the inter-cluster similarity is minimized. These discovered clusters can be used to explain the characteristics of the underlying data distribution and thus serve as the foundation for various data mining and analysis techniques. The applications of clustering include characterization of different customer groups based upon purchasing patterns, categorization of documents on the World Wide Web, grouping of genes and proteins that have similar functionality, grouping of spatial locations prone to earth quakes from seismological data, etc. CLUTO is a software package for clustering low and high dimensional datasets and for analyzing the characteristics of the various clusters.

Subject Categories:

  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE