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    JDCTA
    2010
    464views more  JDCTA 2010»
    A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
    13 years 3 months ago
    A New Agglomerative Hierarchical Clustering Algorithm Implementation based on the Map Reduce Framework
    Download  www.aicit.org
    Text clustering is one of the difficult and hot research fields in the text mining research. Combing Map Reduce framework and the neuron initialization method of VPSOM (vector pre...
    Hui Gao, Jun Jiang, Li She, Yan Fu
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    ESANN
    2007
    123views Neural Networks» more  ESANN 2007»
    Clustering a medieval social network by SOM using a kernel based distance measure
    13 years 9 months ago
    Clustering a medieval social network by SOM using a kernel based distance measure
    Download  nathalie.vialaneix.free.fr
    Abstract. In order to explore the social organization of a medieval peasant community before the Hundred Years’ War, we propose the use of an adaptation of the well-known Kohonen...
    Nathalie Villa, Romain Boulet
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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    13 years 9 months ago
    Recurrent SOM with local linear models in time series prediction
    Download  www.dice.ucl.ac.be
    Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
    Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
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    ICIAP
    2007
    ACM
    128views Image Processing» more  ICIAP 2007»
    Transformation invariant SOM clustering in Document Image Analysis
    14 years 8 months ago
    Transformation invariant SOM clustering in Document Image Analysis
    Download  www.dsi.unifi.it
    In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
    Simone Marinai, Emanuele Marino, Giovanni Soda
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    HICSS
    2006
    IEEE
    118views Biometrics» more  HICSS 2006»
    Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
    14 years 2 months ago
    Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
    Download  csdl2.computer.org
    One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
    Mark Pendergast, Richard Orwig
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