Cluster analysis aims at finding subsets (clusters) of a given set of entities, which are homogeneous and/or well separated. In the last decades, cluster analysis started playing an important role in a wide and heterogeneous range of applications involving different scientific research communities, including genetics, biology, biochemistry, mathematics, and computer science among others. This paper overviews the main types of clustering and criteria for homogeneity or separation, as well as the most popular solution techniques.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com