A novel algorithm for unsupervised classification of datasets made up of integer valued patterns by means of Cellular Neural Network (CNN) is proposed. The algorithm is suited both for linearly separable and non linearly, separable data sets. The adopted CNN is n-dimensional and is based on a space-variant template - neighborhood order 1 - to cluster n-dimensional datasets. The choice of a CNN architecture allows a straightforward hardware implementation, particularly suited for bi-dimensional patterns.

Costantini, G., Casali, D., Carota, M. (2006). A pattern classification method based on a spape-variant CNN template. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and Their Applications (pp.216-220). NEW YORK : IEEE [10.1109/CNNA.2006.341633].

A pattern classification method based on a spape-variant CNN template

COSTANTINI, GIOVANNI;
2006

Abstract

A novel algorithm for unsupervised classification of datasets made up of integer valued patterns by means of Cellular Neural Network (CNN) is proposed. The algorithm is suited both for linearly separable and non linearly, separable data sets. The adopted CNN is n-dimensional and is based on a space-variant template - neighborhood order 1 - to cluster n-dimensional datasets. The choice of a CNN architecture allows a straightforward hardware implementation, particularly suited for bi-dimensional patterns.
10th IEEE International Workshop on Cellular Neural Networks and Their Applications
Istanbul, TURKEY
28 August 2006 through 30 August 2006
Scientific and Technological Research Council of Turkey (TUBITAK);SIEMENS San. ve Tic. A.S.;Office of Naval Research (ONR);IEEE CAS Society
Rilevanza internazionale
Settore ING-IND/31 - Elettrotecnica
English
Cellular neural networks; Clustering; Pattern classification
Intervento a convegno
Costantini, G., Casali, D., Carota, M. (2006). A pattern classification method based on a spape-variant CNN template. In Proceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and Their Applications (pp.216-220). NEW YORK : IEEE [10.1109/CNNA.2006.341633].
Costantini, G; Casali, D; Carota, M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/52621
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