Browsing Department of Computer Science by Subject "high dimensionality"
Now showing items 1-1 of 1
-
Feature Selection and Classification of MAQC-II Breast Cancer and Multiple Myeloma Microarray Gene Expression Data
(PLoS ONE, 2009-12-11)Microarray data has a high dimension of variables but available datasets usually have only a small number of samples, thereby making the study of such datasets interesting and challenging. In the task of analyzing microarray ...