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    AMW
    2010
    208views Knowledge Management» more  AMW 2010»
    Robust Clustering of Data Streams using Incremental Optimization
    13 years 7 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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    VTC
    2006
    IEEE
    129views Communications» more  VTC 2006»
    A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers
    13 years 11 months ago
    A Framework for Automatic Clustering of Parametric MIMO Channel Data Including Path Powers
    Download  userver.ftw.at
    — We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection ...
    Nicolai Czink, Pierluigi Cera, Jari Salo, Ernst Bo...
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    PR
    2008
    116views more  PR 2008»
    Robust path-based spectral clustering
    13 years 5 months ago
    Robust path-based spectral clustering
    Download  www.cs.ust.hk
    Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
    Hong Chang, Dit-Yan Yeung
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    ICPR
    2008
    IEEE
    141views Computer Vision» more  ICPR 2008»
    On-line novelty detection using the Kalman filter and extreme value theory
    14 years 6 days ago
    On-line novelty detection using the Kalman filter and extreme value theory
    Download  figment.cse.usf.edu
    Novelty detection is concerned with identifying abnormal system behaviours and abrupt changes from one regime to another. This paper proposes an on-line (causal) novelty detection...
    Hyoungjoo Lee, Stephen J. Roberts
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    GFKL
    2004
    Springer
    137views Data Mining» more  GFKL 2004»
    Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
    13 years 11 months ago
    Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
    Download  www.mathematik.uni-marburg.de
    Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
    Alfred Ultsch
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