Clustering of Sun Exposure Measurements

Anna Szynkowiak Have, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Elisabeth Thieden, Hans Christian Wulf

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    In a medically motivated Sun-exposure study, questionnaires concerning Sun-habits were collected from a number of subjects together with UV radiation measurements. This paper focuses on identifying clusters in the heterogeneous set of data for the purpose of understanding possible relations between Sun-habits exposure and eventually assessing the risk of skin cancer. A general probabilistic framework originally developed for text and Web mining is demonstrated to be useful for clustering of behavioral data. The framework combines principal component subspace projection with probabilistic clustering based on the generalizable Gaussian mixture model.
    Original languageEnglish
    Title of host publicationProceedings of IEEE Workshop on Neural Networks for Signal Processing XII, Matigny, Valais, Switzerland, Sept. 4-6
    PublisherIEEE Press
    Publication date2002
    ISBN (Print)0-7803-7616-1
    Publication statusPublished - 2002
    Event2002 IEEE Workshop on Neural Networks for Signal Processing XII - Matigny, Switzerland
    Duration: 4 Sep 20026 Sep 2002


    Conference2002 IEEE Workshop on Neural Networks for Signal Processing XII
    Internet address

    Bibliographical note

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