472 search results - page 7 / 95 » Clustering functional data with the SOM algorithm |
ESANN
2006
14 years 11 months ago
2006
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
KI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
102
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CORR
2007
Springer
14 years 9 months ago
2007
Springer
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
83
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ESANN
2008
14 years 11 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
CSB
2004
IEEE
15 years 1 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,...