Have a personal or library account? Click to login
Influence of Feature Selection Methods on Classification Sensitivity Based on the Example of A Study of Polish Voivodship Tourist Attractiveness Cover

Influence of Feature Selection Methods on Classification Sensitivity Based on the Example of A Study of Polish Voivodship Tourist Attractiveness

By: Iwona Bąk  
Open Access
|Jul 2014

Abstract

The purpose of this article is to determine the influence of various methods of selection of diagnostic features on the sensitivity of classification. Three options of feature selection are presented: a parametric feature selection method with a sum (option I), a median of the correlation coefficients matrix column elements (option II) and the method of a reversed matrix (option III). Efficiency of the groupings was verified by the indicators of homogeneity, heterogeneity and the correctness of grouping. In the assessment of group efficiency the approach with the Weber median was used. The undertaken problem was illustrated with a research into the tourist attractiveness of voivodships in Poland in 2011.

DOI: https://doi.org/10.2478/foli-2013-0017 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 134 - 145
Submitted on: Oct 21, 2013
Accepted on: Dec 22, 2013
Published on: Jul 8, 2014
Published by: University of Szczecin
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2014 Iwona Bąk, published by University of Szczecin
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.