Novel techniques for clustering and classification of arbitrary data

• Main Author: Yao, Yuhui.
• Other Authors: Chen, Lihui
• Format: Theses and Dissertations
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/3860
• Institution: Nanyang Technological University

In this study, we focus on exploiting new techniques both for unsupervised classification and supervised classification tasks.