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127
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ICPR
2002
IEEE
16 years 5 months ago
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Christophe Saint-Jean, Carl Frélicot
ICDCIT
2005
Springer
15 years 10 months ago
Merging Clustering Algorithms in Mobile Ad Hoc Networks
Abstract. Clustering is a widely used approach to ease implementation of various problems such as routing and resource management in mobile ad hoc networks (MANET)s. We propose a n...
Orhan Dagdeviren, Kayhan Erciyes, Deniz Cokuslu
ALGOSENSORS
2006
Springer
15 years 8 months ago
Self-stabilizing Weight-Based Clustering Algorithm for Ad Hoc Sensor Networks
Ad hoc sensor networks consist of large number of wireless sensors that communicate with each other in the absence of a xed infrastructure. Fast self-recon guration and power eci...
Colette Johnen, Le Huy Nguyen
120
Voted
ICML
2002
IEEE
16 years 5 months ago
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach
We present two results which arise from a model-based approach to hierarchical agglomerative clustering. First, we show formally that the common heuristic agglomerative clustering...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
135
Voted
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
15 years 10 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...