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    » Learning to cluster using local neighborhood structure
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    NIPS
    2007
    134views Information Technology» more  NIPS 2007»
    Convex Clustering with Exemplar-Based Models
    14 years 11 months ago
    Convex Clustering with Exemplar-Based Models
    Download  people.csail.mit.edu
    Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
    Danial Lashkari, Polina Golland
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    ESANN
    2000
    163views Neural Networks» more  ESANN 2000»
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    14 years 11 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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    BMCBI
    2008
    138views more  BMCBI 2008»
    Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles
    14 years 9 months ago
    Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles
    Download  www.biomedcentral.com
    Background: The hierarchical clustering tree (HCT) with a dendrogram [1] and the singular value decomposition (SVD) with a dimension-reduced representative map [2] are popular met...
    Yin-Jing Tien, Yun-Shien Lee, Han-Ming Wu, Chun-Ho...
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    FUZZIEEE
    2007
    IEEE
    182views Fuzzy Logic» more  FUZZIEEE 2007»
    Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
    15 years 4 months ago
    Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
    Download  www.mathematik.uni-marburg.de
    In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
    Jürgen Beringer, Eyke Hüllermeier
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    TIP
    1998
    99views more  TIP 1998»
    Nonlinear image estimation using piecewise and local image models
    14 years 9 months ago
    Nonlinear image estimation using piecewise and local image models
    Download  viva.ee.virginia.edu
    —We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
    Scott T. Acton, Alan C. Bovik
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