Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Time-efficient estimation of conditional mutual information for variable selection in classification

Todorov, Diman and Setchi, Rossitza 2014. Time-efficient estimation of conditional mutual information for variable selection in classification. Computational Statistics and Data Analysis 72 , pp. 105-127. 10.1016/j.csda.2013.10.026

Full text not available from this repository.

Abstract

An algorithm is proposed for calculating correlation measures based on entropy. The proposed algorithm allows exhaustive exploration of variable subsets on real data. Its time efficiency is demonstrated by comparison against three other variable selection methods based on entropy using 8 data sets from various domains as well as simulated data. The method is applicable to discrete data with a limited number of values making it suitable for medical diagnostic support, DNA sequence analysis, psychometry and other domains.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: Variable selection; Conditional mutual information; Discrete data; Parallel algorithm
Publisher: Elsevier
ISSN: 0167-9473
Last Modified: 20 Feb 2019 17:11
URI: http://orca-mwe.cf.ac.uk/id/eprint/57362

Citation Data

Cited 1 time in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item