DocumentCode
1727585
Title
ICC statistic as criterion for classification and feature selection
Author
Selkäinaho, K. ; Pakkinen, J.
Author_Institution
Dept. of Comput. Sci. & Math., Kuopio Univ., Finland
fYear
1988
Firstpage
709
Abstract
A statistical method is suggested for data classification using the interclass correlation coefficient (ICC) statistics as a criterion function. The theory of the statistics is represented and its characteristics has been investigated. An algorithm for data classification using ICC is also described
Keywords
data analysis; pattern recognition; statistical analysis; ICC statistic; classification; criterion function; data classification; feature selection; interclass correlation coefficient; pattern recognition; Analysis of variance; Classification algorithms; Computer science; Data mining; Mathematics; Multidimensional systems; Pattern recognition; Random variables; Statistical analysis; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28335
Filename
28335
Link To Document