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    BMCBI
    2008
    132views more  BMCBI 2008»
    Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
    13 years 7 months ago
    Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
    Download  www.biomedcentral.com
    Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
    Raffaele Giancarlo, Davide Scaturro, Filippo Utro
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    ITCC
    2005
    IEEE
    177views Information Technology» more  ITCC 2005»
    Mining Biomedical Images with Density-Based Clustering
    14 years 1 months ago
    Mining Biomedical Images with Density-Based Clustering
    Download  lsus.edu
    Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
    M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...
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    PR
    2006
    116views more  PR 2006»
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    13 years 7 months ago
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    Download  www.disi.unige.it
    Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
    Stefano Rovetta, Francesco Masulli
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    KDD
    2007
    ACM
    168views Data Mining» more  KDD 2007»
    A probabilistic framework for relational clustering
    14 years 8 months ago
    A probabilistic framework for relational clustering
    Download  www.cs.binghamton.edu
    Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
    Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
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    SDM
    2009
    SIAM
    123views Data Mining» more  SDM 2009»
    Randomization Techniques for Graphs.
    14 years 4 months ago
    Randomization Techniques for Graphs.
    Download  www.siam.org
    Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
    Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
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