DIRICHLET PROCESS MIXTURE MODEL FOR DOCUMENT CLUSTERING WITH FEATURE PARTITION
Rs4,500.00
10000 in stock
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ABSTRACT
Document clustering is a well known process in the data mining. In the document clustering the
unlabled text documents are grouped into meaningful clusters. Document clustering methods can
be categorized based on whether the number of clusters is required as the input parameter. The
various systems proposed for document clustering which are based on the known number of
clusters. In thedocument clustering finding the number of clusters is the critical work. The most
existing systems performs the document clustering with the known number of clusters. Handling
the large dataset to find the number of clusters is a time consuming process.
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