Abstract
In the present paper we describe a complete methodology to cluster and classify data using Probabilistic Self-Organizing Map (PRSOM). The PRSOM map gives an accurate estimation of the density probabity function of the data, an adapted hierarchical clustering allows to take into account an extra knowledge given by an expert. We present two actual applications of the method taken in the domain of geophysics.
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© 2000 Springer-Verlag Berlin · Heidelberg
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Yacoub, M., Frayssinet, D., Badran, F., Thiria, S. (2000). Clustering and Classification Based on Expert Knowledge Propagation Using a Probabilistic Self-Organizing Map: Application to Geophysics. In: Gaul, W., Opitz, O., Schader, M. (eds) Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58250-9_6
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DOI: https://doi.org/10.1007/978-3-642-58250-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67731-4
Online ISBN: 978-3-642-58250-9
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