Sciweavers

Share
ICONIP
2007

A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data

11 years 7 months ago
A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data
Abstract. A filter algorithm using F-measure has been used with feature redundancy removal based on the Kolmogorov-Smirnov (KS) test for rough equality of statistical distributions. As a result computationally efficient K-S CorrelationBased Selection algorithm has been developed and tested on three high-dimensional microarray datasets using four types of classifiers. Results are quite encouraging and several improvements are suggested.
Jacek Biesiada, Wlodzislaw Duch
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ICONIP
Authors Jacek Biesiada, Wlodzislaw Duch
Comments (0)
books