A Clustering-Ensemble Approach Based on Average Mutual Information

Author

Kong, Zhizhou ; YANG, Shenggang ; Cai, Zixing ; GUAN, Dong

Author_Institution

Hunan Univ., Changsha

fYear

2008

fDate

6-8 April 2008

Firstpage

1692

Lastpage

1695

Abstract

Since clustering ensemble was firstly presented in 2002, it is more and more becoming a new hotspot to improve clustering performance. Through using the mechanism of information rolling and selecting component clusters with the help of mutual information weight, this paper proposes a new clustering ensemble algorithm. Experiments show that this algorithm could effectively improve the clustering results.

Keywords

learning (artificial intelligence); pattern clustering; average mutual information; clustering ensemble algorithm; component clusters; information rolling; Clustering algorithms; Clustering methods; Computer aided instruction; Educational institutions; Fuses; Information analysis; Information science; Machine learning; Mutual information; Uncertainty; Average Mutual Information; Clustering Ensemble; Consensus Function; information rolling;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-1685-1

Electronic_ISBN

978-1-4244-1686-8

Type

conf

DOI

10.1109/ICNSC.2008.4525494

Filename

4525494

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3497283