The current paper proposes a new approach based on the implementation of the DTW distance in a Self Organizing Map algorithm (Kohonen, 2001) with the aim of classifying a set of curves. For showing the results of this approach, we here present an application on simulated data, while in the extended version of the paper we will propose an application on topographic real
Integrating time alignment and Self Organizing Maps for Classifying Curves / Scepi, Germana; Romano, E.. - ELETTRONICO. - (2006), pp. -----. (Intervento presentato al convegno IASC-INTERFACE,IFCS, Workshop tenutosi a Anacapri, Italy nel September 4th-6th).
Integrating time alignment and Self Organizing Maps for Classifying Curves
SCEPI, GERMANA;
2006
Abstract
The current paper proposes a new approach based on the implementation of the DTW distance in a Self Organizing Map algorithm (Kohonen, 2001) with the aim of classifying a set of curves. For showing the results of this approach, we here present an application on simulated data, while in the extended version of the paper we will propose an application on topographic realFile in questo prodotto:
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