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- W2362583982 abstract "This paper introduced the principal of the K-means algorithm, and presented the method by which K-means algorithm is applied to document clustering. The front-end process of documents clustering was discussed in detail, based on Weka that is an open source machine learning software. The K-means clustering algorithm was tested on Weka with documents corpus from Sogou Corporation, and results from experiments show that the K-means algorithm is effective in Web document clustering. According to experimental data, the defect of K-means algorithm was discussed, and importance of feature selection was discussed in unsupervised clustering." @default.
- W2362583982 created "2016-06-24" @default.
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- W2362583982 date "2014-01-01" @default.
- W2362583982 modified "2023-09-24" @default.
- W2362583982 title "Research and Application of K-means Clustering Algorithm" @default.
- W2362583982 hasPublicationYear "2014" @default.
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