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CLUSTER
2006
IEEE
13 years 7 months ago
A taxonomy of application scheduling tools for high performance cluster computing
Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper pre...
Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal ...
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
13 years 11 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
IWPC
2006
IEEE
14 years 1 months ago
Studying the Evolution of Software Systems Using Change Clusters
In this paper, we present an approach that examines the evolution of code stored in source control repositories. The technique identifies Change Clusters, which can help managers...
Jay Kothari, Ali Shokoufandeh, Spiros Mancoridis, ...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
SDM
2007
SIAM
86views Data Mining» more  SDM 2007»
13 years 9 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
Claudia Perlich, Saharon Rosset