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 :
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