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    SDM
    2008
    SIAM
    129views Data Mining» more  SDM 2008»
    Statistical Density Prediction in Traffic Networks
    15 years 8 months ago
    Statistical Density Prediction in Traffic Networks
    Download  www.dbs.informatik.uni-muenchen.de
    Recently, modern tracking methods started to allow capturing the position of massive numbers of moving objects. Given this information, it is possible to analyze and predict the t...
    Hans-Peter Kriegel, Matthias Renz, Matthias Schube...
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    SDM
    2008
    SIAM
    140views Data Mining» more  SDM 2008»
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    15 years 8 months ago
    Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
    Download  wwwiti.cs.uni-magdeburg.de
    Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
    Korinna Bade, Andreas Nürnberger
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    SDM
    2008
    SIAM
    136views Data Mining» more  SDM 2008»
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    15 years 8 months ago
    Exploration and Reduction of the Feature Space by Hierarchical Clustering
    Download  www.di.unito.it
    In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
    Dino Ienco, Rosa Meo
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    SDM
    2008
    SIAM
    177views Data Mining» more  SDM 2008»
    Cluster Ensemble Selection
    15 years 8 months ago
    Cluster Ensemble Selection
    Download  web.engr.oregonstate.edu
    This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
    Xiaoli Z. Fern, Wei Lin
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    SDM
    2008
    SIAM
    144views Data Mining» more  SDM 2008»
    Active Learning with Model Selection in Linear Regression
    15 years 8 months ago
    Active Learning with Model Selection in Linear Regression
    Download  hrstc.org
    Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
    Masashi Sugiyama, Neil Rubens
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