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    » Thematic Fuzzy Clusters with an Additive Spectral Approach
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    EUSFLAT
    2009
    152views Fuzzy Logic» more  EUSFLAT 2009»
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
    13 years 2 months ago
    Learning Fuzzy Rule Based Classifier in High Performance Computing Environment
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    -- An approach to estimate the number of rules by spectral analysis of the training dataset has been recently proposed [1]. This work presents an analysis of such a method in high ...
    Vinicius da F. Vieira, Alexandre Evsukoff, Beatriz...
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    NIPS
    2004
    157views Information Technology» more  NIPS 2004»
    Limits of Spectral Clustering
    13 years 6 months ago
    Limits of Spectral Clustering
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    An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
    Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
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    EUSFLAT
    2009
    163views Fuzzy Logic» more  EUSFLAT 2009»
    A Fuzzy Set Approach to Ecological Knowledge Discovery
    13 years 2 months ago
    A Fuzzy Set Approach to Ecological Knowledge Discovery
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    Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
    Arkadiusz Salski
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    NIPS
    2008
    138views Information Technology» more  NIPS 2008»
    Learning Taxonomies by Dependence Maximization
    13 years 6 months ago
    Learning Taxonomies by Dependence Maximization
    Download  www.kyb.mpg.de
    We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
    Matthew B. Blaschko, Arthur Gretton
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    IJCAI
    2003
    119views Artificial Intelligence» more  IJCAI 2003»
    Spectral Learning
    13 years 6 months ago
    Spectral Learning
    Download  www.eecs.berkeley.edu
    We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
    Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
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