A nominal association matrix with feature selection for categorical data-Reference-Cited by-同舟云学术

A nominal association matrix with feature selection for categorical data

Published:2017-04-20 Issue:16 Volume:46 Page:7798-7819
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Huang Wenxue¹,Shi Yong²,Wang Xiaogang³

Affiliation:

1. School of Mathematics and Information Sciences, Guangzhou University, Guangzhou, Guangdong, P.R. China

2. Research Center on Fictitious Economy and Data Science, University of Chinese Academy of Sciences, and Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, P. R. China

3. Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2014.930911

Reference12 articles.

1. Measures of association for nominal categorical variables

2. Modeling Association Between Two or More Categorical Variables that Allow for Multiple Category Choices

3. Criteria for Measures of Association

4. Distance-Based Measures of Association with Applications in Relating Hyperspectral Images

5. Measures of Association for Cross Classifications*

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