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    » Data Clustering: A Review
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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 11 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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    HCI
    2007
    134views Human Computer Interaction» more  HCI 2007»
    FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
    13 years 11 months ago
    FPF-SB : A Scalable Algorithm for Microarray Gene Expression Data Clustering
    Download  wwwold.iit.cnr.it
    Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
    Filippo Geraci, Mauro Leoncini, Manuela Montangero...
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    ESWA
    2008
    119views more  ESWA 2008»
    Incremental clustering of mixed data based on distance hierarchy
    13 years 10 months ago
    Incremental clustering of mixed data based on distance hierarchy
    Download  techlab.bu.edu
    Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...
    Chung-Chian Hsu, Yan-Ping Huang
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    IEEEVAST
    2010
    171views Emerging Technology» more  IEEEVAST 2010»
    Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
    13 years 5 months ago
    Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
    Download  iwi.eldoc.ub.rug.nl
    Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
    Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    14 years 5 days ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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