High performance in minimizing of term-document matrix representation for document clustering
Document clustering usually involves high dimensional term space, which makes it difficult for organizing data into a small number of meaningful clusters. Clustering based on similar terms without considering the content or meaning is often unsatisfactory as it ignores the relationship between impor...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2009
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| Online Access: | http://eprints.utp.edu.my/185/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-70449096518&partnerID=40&md5=8e95f85e0aa9c498cd3f93ed10ebf89d http://eprints.utp.edu.my/185/ |
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