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Correlation Preserving Indexing Based Text Clustering
2013
IOSR Journal of Computer Engineering
In Document clustering previously they presented new document clustering method based on correlation preserving indexing. It simultaneously maximizes the correlation between the documents in the local patches and minimizes the correlation between the documents outside these patches. Consequently, a low dimensional semantic subspace is derived where the documents corresponding to the same semantics are close to each other with learning level parsing procedure based CPI method. The proposed CPI
doi:10.9790/0661-1312730
fatcat:l27caf5qujcb5iyp3qyvubxumi