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» Clustering functional data with the SOM algorithm
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102
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PR
2008
169views more  PR 2008»
14 years 9 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
76
Voted
ESANN
2008
14 years 11 months ago
Clustering of Self-Organizing Map
Abstract. In this paper, we present a new similarity measure for a clustering self-organizing map which will be reached using a new approach of hierarchical clustering. (1) The sim...
Hanane Azzag, Mustapha Lebbah
ESANN
2007
14 years 11 months ago
Clustering a medieval social network by SOM using a kernel based distance measure
Abstract. In order to explore the social organization of a medieval peasant community before the Hundred Years’ War, we propose the use of an adaptation of the well-known Kohonen...
Nathalie Villa, Romain Boulet
AIIA
2003
Springer
15 years 1 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
ICANN
2009
Springer
15 years 2 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean...