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» Adaptive K-Means Clustering
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CEC
2005
IEEE
15 years 3 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
PR
2006
164views more  PR 2006»
14 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
ICWS
2009
IEEE
15 years 6 months ago
Adaptive Prefetching Scheme Using Web Log Mining in Cluster-Based Web Systems
The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch sche...
Heung Ki Lee, Baik Song An, Eun Jung Kim
ISLPED
2004
ACM
124views Hardware» more  ISLPED 2004»
15 years 3 months ago
Application adaptive energy efficient clustered architectures
As clock frequency and die area increase, achieving energy efficiency, while distributing a low skew, global clock signal becomes increasingly difficult. Challenges imposed by dee...
Diana Marculescu
78
Voted
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
15 years 2 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter