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    CSDA
    2006
    91views more  CSDA 2006»
    Model-based cluster and discriminant analysis with the MIXMOD software
    14 years 9 months ago
    Model-based cluster and discriminant analysis with the MIXMOD software
    Download  hal.archives-ouvertes.fr
    The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
    Christophe Biernacki, Gilles Celeux, Gérard...
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    TKDE
    2010
    251views more  TKDE 2010»
    Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
    14 years 7 months ago
    Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
    Download  www.informatik.uni-freiburg.de
    —We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
    Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...
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    TKDE
    2008
    111views more  TKDE 2008»
    A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
    14 years 9 months ago
    A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
    Download  www.isical.ac.in
    In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
    Sanghamitra Bandyopadhyay, Sriparna Saha
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    SDM
    2009
    SIAM
    225views Data Mining» more  SDM 2009»
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    15 years 6 months ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    Download  siam.org
    Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
    Fei Wang, Chris H. Q. Ding, Tao Li
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    CORR
    2010
    Springer
    219views Education» more  CORR 2010»
    Clustering high dimensional data using subspace and projected clustering algorithms
    14 years 9 months ago
    Clustering high dimensional data using subspace and projected clustering algorithms
    Download  airccse.org
    : Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
    Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
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