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    PAKDD
    2010
    ACM
    169views Data Mining» more  PAKDD 2010»
    Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
    13 years 6 months ago
    Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
    Download  www2.cs.uh.edu
    Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
    Vadeerat Rinsurongkawong, Christoph F. Eick
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    CIBCB
    2009
    IEEE
    184views Computational Biology» more  CIBCB 2009»
    Shape modeling and clustering of white matter fiber tracts using fourier descriptors
    13 years 2 months ago
    Shape modeling and clustering of white matter fiber tracts using fourier descriptors
    Download  www.cs.uky.edu
    Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
    Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang
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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.
    14 years 1 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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    TKDE
    2011
    362views more  TKDE 2011»
    A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
    12 years 11 months ago
    A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
    Download  www.isys.ucl.ac.be
    —This work introduces a link-analysis procedure for discovering relationships in a relational database or a graph, generalizing both simple and multiple correspondence analysis. ...
    Luh Yen, Marco Saerens, François Fouss
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    ESANN
    2000
    163views Neural Networks» more  ESANN 2000»
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    13 years 5 months ago
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    Download  www.ist.temple.edu
    Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
    Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
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