In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- a...
Osman S. Unsal, Oguz Ergin, Xavier Vera, Antonio G...
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
This work provides a systematic study of the impact of communication performance on parallelapplications in a high performance network of workstations. We develop an experimental ...
Richard P. Martin, Amin Vahdat, David E. Culler, T...
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...