An Efficiency Clustering Algorithm Based on Mathematics Morphology and Scale Space Theory

Author

Zhang, Qiang ; Wang, YuFeng

Author_Institution

Comput. Sci. & Inf. Eng. Coll., Tianjin Univ. of Sci. & Technol., Tianjin

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

In this paper, a new clustering algorithm MSC is proposed. Mathematics morphology theory is used to search clusters. A new mathematics morphological operator is introduced, which is more accurate than the ordinary operators: open and close. The scale space theory is integrated with mathematics morphology to get multi-scale and hierarchical clusters. Performance tests show that MSC can find clusters in different scale spaces; its hierarchical result is easy to understand and interpret.

Keywords

mathematical morphology; mathematical operators; pattern clustering; search problems; statistical distributions; efficiency clustering algorithm; hierarchical clusters; mathematics morphology theory; morphological operator; multiscale clusters; probability distribution histogram; scale space theory; Clustering algorithms; Clustering methods; Computer science; Educational institutions; Logic; Mathematics; Morphological operations; Morphology; Space technology; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1337

Filename

4679245