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    BMCBI
    2008
    143views more  BMCBI 2008»
    Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
    13 years 8 months ago
    Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
    Download  www.biomedcentral.com
    Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
    Shibu Yooseph, Weizhong Li, Granger G. Sutton
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    ALMOB
    2008
    112views more  ALMOB 2008»
    Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
    13 years 8 months ago
    Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
    Download  www.almob.org
    Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
    Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
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    AMW
    2010
    208views Knowledge Management» more  AMW 2010»
    Robust Clustering of Data Streams using Incremental Optimization
    13 years 10 months ago
    Robust Clustering of Data Streams using Incremental Optimization
    Download  webmining.spd.louisville.edu
    Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
    Basheer Hawwash, Olfa Nasraoui
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    KDD
    2009
    ACM
    208views Data Mining» more  KDD 2009»
    A principled and flexible framework for finding alternative clusterings
    14 years 9 months ago
    A principled and flexible framework for finding alternative clusterings
    Download  wwwcsif.cs.ucdavis.edu
    The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
    Zijie Qi, Ian Davidson
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    IJCAI
    2003
    137views Artificial Intelligence» more  IJCAI 2003»
    Distributed Clustering Based on Sampling Local Density Estimates
    13 years 9 months ago
    Distributed Clustering Based on Sampling Local Density Estimates
    Download  dli.iiit.ac.in
    Huge amounts of data are stored in autonomous, geographically distributed sources. The discovery of previously unknown, implicit and valuable knowledge is a key aspect of the expl...
    Matthias Klusch, Stefano Lodi, Gianluca Moro
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