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    SDM
    2004
    SIAM
    189views Data Mining» more  SDM 2004»
    An Abstract Weighting Framework for Clustering Algorithms
    13 years 7 months ago
    An Abstract Weighting Framework for Clustering Algorithms
    Download  www1.univ-ag.fr
    act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
    Richard Nock, Frank Nielsen
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    PR
    2007
    293views more  PR 2007»
    Mean shift-based clustering
    13 years 5 months ago
    Mean shift-based clustering
    Download  www2.math.cycu.edu.tw
    In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
    Kuo-Lung Wu, Miin-Shen Yang
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    ICDE
    2003
    IEEE
    148views Database» more  ICDE 2003»
    Dynamic Clustering of Evolving Streams with a Single Pass
    14 years 7 months ago
    Dynamic Clustering of Evolving Streams with a Single Pass
    Download  vorlon.case.edu
    Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
    Jiong Yang
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    PRL
    2006
    139views more  PRL 2006»
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    13 years 6 months ago
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    Download  www.novauniversitas.it
    This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
    Francisco de A. T. de Carvalho, Renata M. C. R. de...
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    PAMI
    2006
    128views more  PAMI 2006»
    On Weighting Clustering
    13 years 6 months ago
    On Weighting Clustering
    Download  www1.univ-ag.fr
    Recent papers and patents in iterative unsupervised learning have emphasized a new trend in clustering. It basically consists of penalizing solutions via weights on the instance po...
    Richard Nock, Frank Nielsen
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