Unsupervised Optimal Discriminant Vector Based Feature Selection Method

An efficient unsupervised feature selection method based on unsupervised optimal discriminant vector is developed to find the important features without using class labels. Features are ranked according to the feature importance measurement based on unsupervised optimal discriminant vector in the fo...

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Bibliographic Details
Main Authors: Su-Qun Cao, Jonathan H. Manton
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/396780