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    PRL
    2010
    158views more  PRL 2010»
    Data clustering: 50 years beyond K-means
    15 years 5 months ago
    Data clustering: 50 years beyond K-means
    Download  dataclustering.cse.msu.edu
    : Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
    Anil K. Jain
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    AAAI
    2008
    132views Intelligent Agents» more  AAAI 2008»
    Ensemble Forecasting for Disease Outbreak Detection
    15 years 9 months ago
    Ensemble Forecasting for Disease Outbreak Detection
    Download  www.aaai.org
    We describe a method to improve detection of disease outbreaks in pre-diagnostic time series data. The method uses multiple forecasters and learns the linear combination to minimi...
    Thomas H. Lotze, Galit Shmueli
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    CLUSTER
    2002
    IEEE
    133views Distributed And Parallel Com...» more  CLUSTER 2002»
    Adaptive Message Management Using Hybrid Channel Model in Parallel File System
    16 years 14 days ago
    Adaptive Message Management Using Hybrid Channel Model in Parallel File System
    Download  www.cis.shimane-u.ac.jp
    Joon-Hyung Hwangbo, Sang-Ki Lee, Yoon-Young Lee, D...
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    166
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    CLUSTER
    2010
    IEEE
    98views Distributed And Parallel Com...» more  CLUSTER 2010»
    Service-oriented execution model supporting data sharing and adaptive query processing
    14 years 11 months ago
    Service-oriented execution model supporting data sharing and adaptive query processing
    Download  grid.tsinghua.edu.cn
    Yongwei Wu, Jia Liu, Gang Chen, Qiming Fang, Guang...
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    233
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    PRL
    2006
    139views more  PRL 2006»
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    15 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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