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ICDM
2009
IEEE
133views Data Mining» more  ICDM 2009»
14 years 4 months ago
On K-Means Cluster Preservation Using Quantization Schemes
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
Deepak S. Turaga, Michail Vlachos, Olivier Versche...
IJHPCA
2007
116views more  IJHPCA 2007»
13 years 10 months ago
Pricing for Utility-Driven Resource Management and Allocation in Clusters
Users perceive varying levels of utility for each different job completed by the cluster. Therefore, there is a need for existing cluster Resource Management Systems (RMS) to prov...
Chee Shin Yeo, Rajkumar Buyya
TCSB
2008
13 years 10 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Mining Protein Sequence Motifs Representing Common 3D Structures
Understanding the relationship between protein structure and its sequence is one of the most important tasks of current bioinformatics research. In this work, recurring protein se...
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang...
GRAPHITE
2004
ACM
14 years 3 months ago
Understanding next-generation VR: classifying commodity clusters for immersive virtual reality
Commodity clusters offer the ability to deliver higher performance computer graphics at lower prices than traditional graphics supercomputers. Immersive virtual reality systems de...
Alexander Streit, Ruth Christie, Andy Boud