DocumentCode
1864414
Title
Clustering Ensemble of Clustering Algorithm for Large Datasets
Author
Bencheng Yu ; Zhihao Yin ; Ran Wang ; Yan Chen
Author_Institution
Xuzhou Coll. of Ind. Technol., Xuzhou, China
Volume
1
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
349
Lastpage
351
Abstract
Designing consensus function by analyzing ensemble method of clustering members and clustering, then the class center will be determined by the way of using the weighted method. Clustering ensemble, which is Based on part priority clustering algorithm, is to improve the accuracy of the algorithm. Experiments results proved that the algorithm which is optimized takes great advantages over that in scalability, stability and robustness than before.
Keywords
pattern clustering; very large databases; clustering ensemble; clustering members; consensus function; large datasets; part priority clustering algorithm; Accuracy; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Production; Robustness; Stability analysis; Clustering Algorithm; Clustering Ensemble; Robustness; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.89
Filename
6643901
Link To Document