Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering
10.1016/j.ipm.2006.07.022
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sg-nus-scholar.10635-394682023-10-26T21:32:02Z Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering Niu, Z.-Y. Ji, D.-H. Tan, C.L. COMPUTER SCIENCE Cluster number estimation Cluster validation Document clustering Feature selection 10.1016/j.ipm.2006.07.022 Information Processing and Management 43 3 730-739 IPMAD 2013-07-04T07:42:17Z 2013-07-04T07:42:17Z 2007 Article Niu, Z.-Y., Ji, D.-H., Tan, C.L. (2007). Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering. Information Processing and Management 43 (3) : 730-739. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ipm.2006.07.022 03064573 http://scholarbank.nus.edu.sg/handle/10635/39468 000244618900012 Scopus |
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Cluster number estimation Cluster validation Document clustering Feature selection |
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Cluster number estimation Cluster validation Document clustering Feature selection Niu, Z.-Y. Ji, D.-H. Tan, C.L. Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
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10.1016/j.ipm.2006.07.022 |
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COMPUTER SCIENCE |
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COMPUTER SCIENCE Niu, Z.-Y. Ji, D.-H. Tan, C.L. |
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Niu, Z.-Y. Ji, D.-H. Tan, C.L. |
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Niu, Z.-Y. |
title |
Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
title_short |
Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
title_full |
Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
title_fullStr |
Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
title_full_unstemmed |
Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
title_sort |
using cluster validation criterion to identify optimal feature subset and cluster number for document clustering |
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2013 |
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http://scholarbank.nus.edu.sg/handle/10635/39468 |
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1781411019050975232 |