CLUTO - A Clustering Toolkit
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 23, 2002
- Accession Number
- ADA439508
Entities
People
- George Karypis
Organizations
- University of Minnesota