A comparison of mutual and fuzzy-mutual information-based feature selection strategies

Yu Shuen Tsai, Ueng Cheng Yang, I. Fang Chung, Chuen Der Huang

研究成果: Conference contribution同行評審

14 引文 斯高帕斯(Scopus)

摘要

It is very important to select a small set of relevant features from a high dimensional data set and useful to design either an effective classification or prediction model. This procedure involves a series of estimations of the relationship between each pair of variables and between each variable and class labels. Mutual information is widely used to estimate these relationships. However, alternative strategies may be useful to estimate the mutual information with continuous or hybrid data. In this study, we attempt to evaluate the difference between the selection strategies involved with mutual information and fuzzy mutual information. The results indicate that using fuzzy mutual information is more helpful to obtain more stable feature sets and more accurate estimations of the relationship between two variables.

原文English
主出版物標題FUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
DOIs
出版狀態Published - 2013
事件2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad, India
持續時間: 7 7月 201310 7月 2013

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

Conference

Conference2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
國家/地區India
城市Hyderabad
期間7/07/1310/07/13

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