472 search results - page 20 / 95 » Clustering functional data with the SOM algorithm |
177
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TNN
2010
14 years 10 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
156
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ICPR
2004
IEEE
16 years 5 months ago
2004
IEEE
In this paper, we propose an unsupervised approach to select representative face samples (models) from raw videos and build an appearance-based face recognition system. The approa...
115
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GECCO
2003
Springer
15 years 9 months ago
2003
Springer
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
149
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ICTAI
2005
IEEE
15 years 9 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
121
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...