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» Convergence Properties of the K-Means Algorithms
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PR
2008
88views more  PR 2008»
15 years 1 months ago
Modified global k
Clustering in gene expression data sets is a challenging problem. Different algorithms for clustering of genes have been proposed. However due to the large number of genes only a ...
Adil M. Bagirov
ICML
2007
IEEE
16 years 2 months ago
Manifold-adaptive dimension estimation
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
Amir Massoud Farahmand, Csaba Szepesvári, J...
ICML
2005
IEEE
16 years 2 months ago
Fast condensed nearest neighbor rule
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
Fabrizio Angiulli
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
15 years 8 months ago
Equitable partitioning policies for robotic networks
Abstract— The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this princ...
Marco Pavone, Alessandro Arsie, Emilio Frazzoli, F...
VTC
2007
IEEE
15 years 7 months ago
Adaptive Conjugate Gradient DFEs for Wideband MIMO Systems Using Galerkin Projections
— Three new adaptive equalization algorithms for wireless systems operating over frequency selective MIMO channels are proposed. The problem of the MIMO DFE design is formulated ...
Vassilis Kekatos, Aris S. Lalos, Kostas Berberidis