Novel techniques for clustering and classification of arbitrary data

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

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Bibliographic Details
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
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Institution:	Nanyang Technological University

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

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