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    DICTA
    2007
    186views Applied Computing» more  DICTA 2007»
    K-means Clustering for Classifying Unlabelled MRI Data
    13 years 9 months ago
    K-means Clustering for Classifying Unlabelled MRI Data
    Download  www.fjt.info.gifu-u.ac.jp
    Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
    Gobert N. Lee, Hiroshi Fujita
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    CSDA
    2010
    105views more  CSDA 2010»
    James-Stein shrinkage to improve k-means cluster analysis
    13 years 8 months ago
    James-Stein shrinkage to improve k-means cluster analysis
    Download  www.stat.sc.edu
    We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
    Jinxin Gao, David B. Hitchcock
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    USENIX
    2000
    78views Operating System» more  USENIX 2000»
    Dynamic Function Placement for Data-Intensive Cluster Computing
    13 years 9 months ago
    Dynamic Function Placement for Data-Intensive Cluster Computing
    Download  www.pdl.cmu.edu
    Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
    Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
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    SAFECOMP
    2005
    Springer
    156views Security Privacy» more  SAFECOMP 2005»
    Are High-Level Languages Suitable for Robust Telecoms Software?
    14 years 1 months ago
    Are High-Level Languages Suitable for Robust Telecoms Software?
    Download  www.macs.hw.ac.uk
    In the telecommunications sector product development must minimise time to market while delivering high levels of dependability, availability, maintainability and scalability. High...
    Jan Henry Nyström, Philip W. Trinder, David J...
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    BMCBI
    2008
    146views more  BMCBI 2008»
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    13 years 8 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Download  www.biomedcentral.com
    Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
    Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
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