Title :
Feature selection based on similarity
Author :
Lazzerini, B. ; Marcelloni, E.
Author_Institution :
Dipt. di Ingegneria della Informazione, Pisa Univ., Italy
fDate :
1/31/2002 12:00:00 AM
Abstract :
A new method for feature selection is proposed. The method associates a weight with each feature by minimising an appropriate index defined in terms of similarity between patterns of the training set. The weight measures the importance of the corresponding feature in characterising the classes. Features associated with low weights are considered irrelevant and therefore eliminated. Experimental results to confirm the validity of the method are shown
Keywords :
feature extraction; filtering theory; pattern classification; feature selection; filter method; pattern classifiers; similarity; training set patterns; validity;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020078
