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    Applying anomalous cluster approach to spatial clustering

    Nascimento, S. and Mirkin, Boris (2017) Applying anomalous cluster approach to spatial clustering. In: Kreinovich, V. (ed.) Uncertainty Modeling. Studies in Computational Intelligence 683. Springer, pp. 147-157. ISBN 9783319510514.

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    Abstract

    The concept of anomalous clustering applies to finding individual clusters on a digital geography map supplied with a single feature such as brightness or temperature. An algorithm derived within the individual anomalous cluster framework extends the so-called region growing algorithms. Yet our approach differs in that the algorithm parameter values are not expert-driven but rather derived from the anomalous clustering model. This novel framework successfully applies to the issue of automatically delineating coastal upwelling from Sea Surface Temperature (SST) maps, a natural phenomenon seasonally occurring in coastal waters.

    Metadata

    Item Type: Book Section
    Additional Information: Dedicated to Professor Boris Kovalerchuk on his Anniversary. Series ISSN: 1860-949X
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Administrator
    Date Deposited: 12 Jun 2017 06:59
    Last Modified: 12 Jun 2017 06:59
    URI: http://eprints.bbk.ac.uk/id/eprint/18853

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