SOM-based algorithms for qualitative variables

It is well known that the SOM algorithm achieves a clustering of data which can be interpreted as an extension of Principal Component Analysis, because of its topology-preserving property. But the SOM algorithm can only process real-valued data. In previous papers, we have proposed several methods b...

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Veröffentlicht in:	arXiv.org 2006-10
Hauptverfasser:	Cottrell, Marie, Smail Ibbou, Letrémy, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Principal components analysis Topology
Online-Zugang:	Volltext
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