Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/3860
Title: Novel techniques for clustering and classification of arbitrary data
Authors: Yao, Yuhui.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2001
Abstract: In this study, we focus on exploiting new techniques both for unsupervised classification and supervised classification tasks.
URI: http://hdl.handle.net/10356/3860
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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