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    GFKL
    2004
    Springer
    154views Data Mining» more  GFKL 2004»
    Discovering Temporal Knowledge in Multivariate Time Series
    15 years 2 months ago
    Discovering Temporal Knowledge in Multivariate Time Series
    Download  www.mybytes.de
    Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...
    Fabian Mörchen, Alfred Ultsch
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    GFKL
    2004
    Springer
    137views Data Mining» more  GFKL 2004»
    Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
    15 years 2 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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    GFKL
    2004
    Springer
    135views Data Mining» more  GFKL 2004»
    KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results
    15 years 2 months ago
    KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results
    Download  eldorado.tu-dortmund.de
    In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through...
    Nils Raabe, Karsten Luebke, Claus Weihs
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    GFKL
    2004
    Springer
    108views Data Mining» more  GFKL 2004»
    Application of a Genetic Algorithm to Variable Selection in Fuzzy Clustering
    15 years 2 months ago
    Application of a Genetic Algorithm to Variable Selection in Fuzzy Clustering
    Download  www.stat.auckland.ac.nz
    Christian Röver, Gero Szepannek
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    GFKL
    2004
    Springer
    107views Data Mining» more  GFKL 2004»
    Hierarchical Mixture Models for Nested Data Structures
    15 years 2 months ago
    Hierarchical Mixture Models for Nested Data Structures
    Download  www.statisticalinnovations.com
    A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
    Jeroen K. Vermunt, Jay Magidson
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