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    ICDCSW
    2005
    IEEE
    130views Computer Networks» more  ICDCSW 2005»
    Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
    14 years 1 months ago
    Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
    Download  caclab.csd.auth.gr
    Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...
    Constandinos X. Mavromoustakis, Helen D. Karatza
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    SDM
    2009
    SIAM
    225views Data Mining» more  SDM 2009»
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    14 years 4 months ago
    Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
    Download  siam.org
    Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
    Fei Wang, Chris H. Q. Ding, Tao Li
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    GFKL
    2007
    Springer
    123views Data Mining» more  GFKL 2007»
    Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
    14 years 1 months ago
    Projecting Dialect Distances to Geography: Bootstrap Clustering vs. Noisy Clustering
    Download  www.let.rug.nl
    Abstract. Dialectometry produces aggregate distance matrices in which a distance is specified for each pair of sites. By projecting groups obtained by clustering onto geography on...
    John Nerbonne, Peter Kleiweg, Wilbert Heeringa, Fr...
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    BMCBI
    2008
    259views more  BMCBI 2008»
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    13 years 7 months ago
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    Download  www.biomedcentral.com
    Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
    Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
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    PRL
    2006
    139views more  PRL 2006»
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    13 years 7 months ago
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    Download  www.novauniversitas.it
    This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
    Francisco de A. T. de Carvalho, Renata M. C. R. de...
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