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
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;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28335
