8776 search results - page 258 / 1756 » Robust Data Clustering |
155
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
230
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MA
2011
Springer
15 years 1 months ago
2011
Springer
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
207
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JFR
2008
15 years 6 months ago
2008
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
184
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SYNASC
2005
IEEE
16 years 1 days ago
2005
IEEE
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
155
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CSB
2004
IEEE
15 years 10 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...