An efficient feature selection technique for clustering based on a new measure of feature importance-Reference-Cited by-同舟云学术

An efficient feature selection technique for clustering based on a new measure of feature importance

Published:2017-05-23 Issue:6 Volume:32 Page:3847-3858
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Goswami Saptarsi¹,Chakrabarti Amlan²,Chakraborty Basabi³

Affiliation:

1. Computer Science and Engineering, Institute of Engineering & Management, Salt Lake, Kolkata, India

2. A.k.Choudhury School of Information Technology, Calcutta University, Kolkata, India

3. Faculty of Software and Information Science, Iwate Prefectural University, Iwate, Japan

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference36 articles.

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5. Feature selection in Parkinson’s disease: A rough sets approach;Revett;In Computer Science and Information Technology IMCSIT’09 International Multiconference on,2009

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