DocumentCode
1654239
Title
A Novel Clustering-Ensemble Approach
Author
Kong, Zhizhou ; Wei, Lai ; YANG, Shenggang ; GUAN, Dong ; Cai, Zixing
Author_Institution
Hunan Univ., Changsha
fYear
2008
Firstpage
722
Lastpage
724
Abstract
Clustering Ensemble is more and more becoming a new hotspot to improve clustering performance since it was firstly presented in 2002. Through using the mechanism of the integrate mechanism of testing and information rolling method to decrease the error probability of matching cluster members, and using a method of category weight to ensemble clustering members, this paper proposes a novel Clustering Ensemble algorithm. Experiments show that this algorithm could effectively improve the clustering results.
Keywords
learning (artificial intelligence); pattern clustering; clustering ensemble approach; error probability; information rolling; testing; Clustering algorithms; Computer aided instruction; Diversity reception; Educational institutions; Error probability; Finance; Fuses; Information science; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.176
Filename
4535056
Link To Document