Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed images

Márcio L. Gonçalves, Márcio Luiz De Andrade Netto, José Alfredo Ferreira Costa, Jurandir Zullo. Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed images. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006. pages 4421-4428, IEEE, 2006. [doi]

Abstract

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