Extending Self-Organizing Maps with uncertainty information of probabilistic PCA

We introduce a probabilistic version of the self-organizing map (SOM) where we model the uncertainty of both the model vectors and the data. While uncertainty information about the data is often not available, this property becomes very useful when the method is combined in a hierarchical manner wit...

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Bibliographische Detailangaben

Hauptverfasser:	Sovilj, Dusan, Raiko, Tapani, Oja, Erkki
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks
Online-Zugang:	Volltext bestellen
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