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 :
بازگشت