CLUSTERING GENE EXPRESSION DATA USING AN EFFECTIVE DISSIMILARITY MEASURE1

Abstract

Abstract This paper presents two clustering methods: the first one uses a density-based approach (DGC) and the second one uses a frequent itemset mining approach (FINN). DGC uses regulation information as well as order preserving ranking for identifying relevant ...