Mining minimal discriminatice features sets and its applications to gene expression data analysis

Feature subset selection has been an important problem in machine learning research. Recently, new appeared data with high dimensionality, such as microarray gene expression data and text classification data, drive feature subset selection techniques advance speedily.

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Bibliographic Details
Main Author: Feng, Chu
Other Authors: Wang Lipo
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/40532
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Institution: Nanyang Technological University
Language: English