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    JACM
    2010
    208views more  JACM 2010»
    The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
    13 years 6 months ago
    The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
    Download  www.cs.princeton.edu
    clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
    David M. Blei, Thomas L. Griffiths, Michael I. Jor...
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    CVPR
    2008
    IEEE
    297views Computer Vision» more  CVPR 2008»
    Generalised blurring mean-shift algorithms for nonparametric clustering
    14 years 9 months ago
    Generalised blurring mean-shift algorithms for nonparametric clustering
    Download  faculty.ucmerced.edu
    Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
    Miguel Á. Carreira-Perpiñán
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    BMCBI
    2004
    180views more  BMCBI 2004»
    Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
    13 years 7 months ago
    Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
    Download  www.biomedcentral.com
    Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
    Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 2 months ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
    Download  www.biomedcentral.com
    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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    BMCBI
    2008
    162views more  BMCBI 2008»
    Background correction using dinucleotide affinities improves the performance of GCRMA
    13 years 7 months ago
    Background correction using dinucleotide affinities improves the performance of GCRMA
    Download  www.biomedcentral.com
    Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
    Raad Z. Gharaibeh, Anthony Fodor, Cynthia Gibas
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