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    EDBT
    2009
    ACM
    302views Database» more  EDBT 2009»
    RankClus: integrating clustering with ranking for heterogeneous information network analysis
    14 years 2 months ago
    RankClus: integrating clustering with ranking for heterogeneous information network analysis
    Download  www.se.cuhk.edu.hk
    As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
    Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...
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    CIKM
    2004
    Springer
    118views Information Technology» more  CIKM 2004»
    Mining gene expression datasets using density-based clustering
    14 years 1 months ago
    Mining gene expression datasets using density-based clustering
    Download  imsc-dmim.usc.edu
    Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
    Seokkyung Chung, Jongeun Jun, Dennis McLeod
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    BMCBI
    2004
    87views more  BMCBI 2004»
    Selection of informative clusters from hierarchical cluster tree with gene classes
    13 years 7 months ago
    Selection of informative clusters from hierarchical cluster tree with gene classes
    Download  www.biomedcentral.com
    Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
    Petri Törönen
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    POPL
    1996
    ACM
    97views Programming Languages» more  POPL 1996»
    A Practical and Flexible Flow Analysis for Higher-Order Languages
    13 years 11 months ago
    A Practical and Flexible Flow Analysis for Higher-Order Languages
    Download  www.cs.indiana.edu
    operators. The analysis is abstract interpretation-based and is parameterized over two polyvariance operators and a projection operator. These operators are used to regulate the sp...
    J. Michael Ashley
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    ICDAR
    2009
    IEEE
    147views Document Analysis» more  ICDAR 2009»
    A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles
    13 years 5 months ago
    A Framework Based on Semi-Supervised Clustering for Discovering Unique Writing Styles
    Download  www.hpl.hp.com
    :
    A. Bharath, Sriganesh Madhvanath
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