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    » Expectation-MiniMax Approach to Clustering Analysis
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    PR
    2006
    116views more  PR 2006»
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
    14 years 9 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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    JOT
    2010
    153views more  JOT 2010»
    Identification of System Software Components Using Clustering Approach
    14 years 8 months ago
    Identification of System Software Components Using Clustering Approach
    Download  www.jot.fm
    The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
    Gholamreza Shahmohammadi, Saeed Jalili, Seyed Moha...
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    CORR
    2010
    Springer
    131views Education» more  CORR 2010»
    A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
    14 years 9 months ago
    A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
    Download  www.kyb.tuebingen.mpg.de
    We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
    Yevgeny Seldin
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    IGARSS
    2009
    135views Remote Sensing» more  IGARSS 2009»
    Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis
    14 years 7 months ago
    Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis
    Download  www.umbc.edu
    We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
    Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...
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    ISI
    2008
    Springer
    121views Security Privacy» more  ISI 2008»
    A framework for privacy-preserving cluster analysis
    14 years 9 months ago
    A framework for privacy-preserving cluster analysis
    Download  users.encs.concordia.ca
    Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
    Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
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