Semi-supervised clustering algorithms for web documents

Data mining has been a significant tool in extracting hidden and useful information from large databases in various scientific and practical applications. One of the techniques is semi-supervised clustering. Semi-supervised algorithms often demonstrate surprisingly impressive performance improvemen...

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Bibliographic Details
Main Author: Bian, Zhiwei.
Other Authors: Chen Lihui
Format: Final Year Project (FYP)
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/45760