Journal article
Unsupervised Optimal Discriminant Vector Based Feature Selection Method
Su-Qun Cao, Jonathan H Manton
MATHEMATICAL PROBLEMS IN ENGINEERING | HINDAWI LTD | Published : 2013
DOI: 10.1155/2013/396780
Abstract
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 following steps. First, fuzzy Fisher criterion is adopted as objective function to derive the optimal discriminant vector in unsupervised pattern. Second, the feature importance measurement based on elements of unsupervised optimal discriminant vector is defined to determine the importance of each feature. The features with little importance measurement are removed from the feature subset. Experimen..
View full abstractGrants
Awarded by Major Program of the Natural Science Foundation of the Jiangsu Higher Education Institutions of China
Awarded by China Spark Program
Awarded by Technology Innovation Project of Science and Technology Enterprises at Jiangsu Province in China
Awarded by Key Laboratory of Digital Manufacture Technology at Jiangsu Province in China
Awarded by Huaian Science and Technique Program in China
Awarded by Huaian International Science and Technology Cooperation Project
Funding Acknowledgements
This work is supported by the Major Program of the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (11KJA460001, 13KJA460001), China Spark Program (2013GA690404) Technology Innovation Project of Science and Technology Enterprises at Jiangsu Province in China (BC2012429), the Open Project from the Key Laboratory of Digital Manufacture Technology at Jiangsu Province in China (HGDML-1005), Huaian Science and Technique Program in China (HAG2010062), Huaian 533 Talents Project, Huaian International Science and Technology Cooperation Project (HG201309), Qing Lan Project of Jiangsu Province, and Jiangsu Overseas Research & Training Program for University Prominent Young & Middle-Aged Teachers and Presidents, China.