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    ICDM
    2003
    IEEE
    111views Data Mining» more  ICDM 2003»
    OP-Cluster: Clustering by Tendency in High Dimensional Space
    14 years 1 months ago
    OP-Cluster: Clustering by Tendency in High Dimensional Space
    Download  www.cs.unc.edu
    Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
    Jinze Liu, Wei Wang 0010
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    PVLDB
    2008
    205views more  PVLDB 2008»
    Making SENSE: socially enhanced search and exploration
    13 years 8 months ago
    Making SENSE: socially enhanced search and exploration
    Download  www.inf.unibz.it
    Online communities like Flickr, del.icio.us and YouTube have established themselves as very popular and powerful services for publishing and searching contents, but also for ident...
    Tom Crecelius, Mouna Kacimi, Sebastian Michel, Tho...
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    ICDM
    2005
    IEEE
    138views Data Mining» more  ICDM 2005»
    Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
    14 years 2 months ago
    Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
    Download  arbor.ee.ntu.edu.tw
    Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
    Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
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    CVPR
    2006
    IEEE
    202views Computer Vision» more  CVPR 2006»
    Spectral Methods for Automatic Multiscale Data Clustering
    14 years 10 months ago
    Spectral Methods for Automatic Multiscale Data Clustering
    Download  www.gatsby.ucl.ac.uk
    Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
    Arik Azran, Zoubin Ghahramani
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    NIPS
    2008
    161views Information Technology» more  NIPS 2008»
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    13 years 10 months ago
    Stochastic Relational Models for Large-scale Dyadic Data using MCMC
    Download  www.dbs.informatik.uni-muenchen.de
    Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
    Shenghuo Zhu, Kai Yu, Yihong Gong
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