We continue the study of bin packing with splittable items and cardinality constraints. In this problem, a set of items must be packed into as few bins as possible. Items may be s...
Abstract. Pattern-based clustering has broad applications in microarray data analysis, customer segmentation, e-business data analysis, etc. However, pattern-based clustering often...
This paper proposed a novel video shot clustering algorithm using spectral method by joint modeling of inter and intra shot. Gauss Mixture Model (GMM) is used for probabilistic sp...
In comparative genomics, various combinatorial models can be used to specify gene clusters — groups of genes that are co-located in a set of genomes. Several approaches have been...
This paper describes an approach to digesting threads of archived discussion lists by clustering messages into approximate topical groups, and then extracting shorter overviews, a...