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- W2000352630 abstract "A clustering algorithm based on one-class support vector machine has been proposed recently. Because the kernel technique is used, this approach can appear preferable to the traditional k-means clustering. Clustering ensemble method can combine several divisions of all unlabeled data into a single clustering to gain the better clustering results. In this paper, the clustering ensemble method is applied to the clustering algorithm based one-class support vector machines. Several partitions of multiple runs with different random initial data sets are combined into a final clustering result. Experiments show that the new approach can improve the clustering performance." @default.
- W2000352630 created "2016-06-24" @default.
- W2000352630 creator A5036910081 @default.
- W2000352630 date "2013-06-01" @default.
- W2000352630 modified "2023-09-27" @default.
- W2000352630 title "A Novel Clustering Ensemble Method Based on One-Class Support Vector Machine" @default.
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- W2000352630 doi "https://doi.org/10.4028/www.scientific.net/amm.321-324.1943" @default.
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