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    ISPD
    2005
    ACM
    188views Hardware» more  ISPD 2005»
    A semi-persistent clustering technique for VLSI circuit placement
    14 years 1 months ago
    A semi-persistent clustering technique for VLSI circuit placement
    Download  ic.engin.brown.edu
    Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
    Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
    posted by sreda
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    SDM
    2007
    SIAM
    176views Data Mining» more  SDM 2007»
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    13 years 9 months ago
    Adaptive Concept Learning through Clustering and Aggregation of Relational Data
    Download  siam.org
    We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
    Hichem Frigui, Cheul Hwang
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    KDD
    2006
    ACM
    156views Data Mining» more  KDD 2006»
    Discovering significant OPSM subspace clusters in massive gene expression data
    14 years 8 months ago
    Discovering significant OPSM subspace clusters in massive gene expression data
    Download  www.cs.sfu.ca
    Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
    Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
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    JIFS
    2008
    155views more  JIFS 2008»
    Improving supervised learning performance by using fuzzy clustering method to select training data
    13 years 8 months ago
    Improving supervised learning performance by using fuzzy clustering method to select training data
    Download  uclab.khu.ac.kr
    The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
    Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
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    SDM
    2008
    SIAM
    168views Data Mining» more  SDM 2008»
    Semi-Supervised Clustering via Matrix Factorization
    13 years 9 months ago
    Semi-Supervised Clustering via Matrix Factorization
    Download  users.cis.fiu.edu
    The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
    Fei Wang, Tao Li, Changshui Zhang
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