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ICML
2006
IEEE
16 years 5 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 10 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
PEWASUN
2005
ACM
15 years 9 months ago
Impact of mobility prediction on the temporal stability of MANET clustering algorithms
Scalability issues for routing in mobile ad hoc networks (MANETs) have been typically addressed using hybrid routing schemes operating in a hierarchical network architecture. Seve...
Aravindhan Venkateswaran, Venkatesh Sarangan, Nata...
PR
2008
123views more  PR 2008»
15 years 4 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
IJHPCA
2007
116views more  IJHPCA 2007»
15 years 4 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