Semi-supervised clustering algorithms for web documents

• Main Author: Hua, Yunke.
• Other Authors: Chen Lihui
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/53348
• Institution: Nanyang Technological University

Clustering is one of the most popular data mining techniques in order to finding the user-desired pattern accurately and efficiently from huge amount of data flow. However, due to the curse of dimensionality, clustering high-dimensional data like web documents and biological data can be a challengin...