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    ICMLA
    2008
    147views Machine Learning» more  ICMLA 2008»
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    13 years 9 months ago
    Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
    Download  cseweb.ucsd.edu
    In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
    Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinb...
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    BMCBI
    2010
    153views more  BMCBI 2010»
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    13 years 7 months ago
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    Download  www.biomedcentral.com
    Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
    Eva Freyhult, Mattias Landfors, Jenny Önskog,...
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    IR
    2006
    142views Natural Language Processing» more  IR 2006»
    Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
    13 years 7 months ago
    Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
    Download  www.info.uta.fi
    Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
    Tuomo Korenius, Jorma Laurikkala, Martti Juhola, K...
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    COLT
    2005
    Springer
    91views Machine Learning» more  COLT 2005»
    On Spectral Learning of Mixtures of Distributions
    14 years 1 months ago
    On Spectral Learning of Mixtures of Distributions
    Download  users.soe.ucsc.edu
    We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
    Dimitris Achlioptas, Frank McSherry
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    ESANN
    2008
    113views Neural Networks» more  ESANN 2008»
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
    13 years 9 months ago
    Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs
    Download  www.dice.ucl.ac.be
    In this paper we apply three pattern recognition methods (support vector machine, cluster analysis and principal component analysis) to distinguish regulatory regions from coding a...
    Rene te Boekhorst, Irina I. Abnizova, Lorenz Werni...
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