Title :
A Clustering-Ensemble Approach Based on Average Mutual Information
Author :
Kong, Zhizhou ; YANG, Shenggang ; Cai, Zixing ; GUAN, Dong
Author_Institution :
Hunan Univ., Changsha
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;
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
DOI :
10.1109/ICNSC.2008.4525494
