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A Topological Hierarchical Clustering: Application to Ocean Color Classification

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Artificial Neural Networks — ICANN 2001 (ICANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2130))

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Abstract

We propose a new criteria to cluster the referent vectors of the self-organizing map. This criteria contains two terms which take into account two different errors simultaneously: the square error of the entire clustering and the topological structure given by the Self Organizing Map. A parameter T allows to control the corresponding influence of these two terms. The efficiency of this criteria is illustrated on the problem of top of the atmosphere spectra of satellite ocean color measurements.

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References

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© 2001 Springer-Verlag Berlin Heidelberg

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Yacoub, M., Badran, F., Thiria, S. (2001). A Topological Hierarchical Clustering: Application to Ocean Color Classification. In: Dorffner, G., Bischof, H., Hornik, K. (eds) Artificial Neural Networks — ICANN 2001. ICANN 2001. Lecture Notes in Computer Science, vol 2130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44668-0_69

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  • DOI: https://doi.org/10.1007/3-540-44668-0_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42486-4

  • Online ISBN: 978-3-540-44668-2

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