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    » Dimensionality Reduction of Clustered Data Sets
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    NIPS
    2003
    106views Information Technology» more  NIPS 2003»
    Optimal Manifold Representation of Data: An Information Theoretic Approach
    13 years 7 months ago
    Optimal Manifold Representation of Data: An Information Theoretic Approach
    Download  books.nips.cc
    We introduce an information theoretic method for nonparametric, nonlinear dimensionality reduction, based on the infinite cluster limit of rate distortion theory. By constraining...
    Denis V. Chigirev, William Bialek
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    CBMS
    2005
    IEEE
    161views Medical Imaging» more  CBMS 2005»
    Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
    13 years 8 months ago
    Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
    Download  www.win.tue.nl
    Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
    Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 8 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    PAMI
    2011
    390views Operations Research» more  PAMI 2011»
    Multiple Kernel Learning for Dimensionality Reduction
    13 years 1 months ago
    Multiple Kernel Learning for Dimensionality Reduction
    Download  www.sciencenet.cn
    —In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
    Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
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    BMCBI
    2005
    80views more  BMCBI 2005»
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    13 years 6 months ago
    Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
    Download  www.biomedcentral.com
    Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
    Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
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