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Divergence-Based Vector Quantization.

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Bibliographic Details
Title: Divergence-Based Vector Quantization.
Authors: Villmann, Thomas, Haase, Sven
Source: Neural Computation. May2011, Vol. 23 Issue 5, p1343-1392. 50p. 2 Charts, 9 Graphs.
Subjects: Supervised learning, Vector analysis, Classification, Cluster analysis (Statistics), Online education, Algorithms, Functional analysis, Self-organizing maps
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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      – Type: doi
        Value: 10.1162/NECO_a_00110
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 50
        StartPage: 1343
    Subjects:
      – SubjectFull: Supervised learning
        Type: general
      – SubjectFull: Vector analysis
        Type: general
      – SubjectFull: Classification
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Online education
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Functional analysis
        Type: general
      – SubjectFull: Self-organizing maps
        Type: general
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      – TitleFull: Divergence-Based Vector Quantization.
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            NameFull: Villmann, Thomas
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            NameFull: Haase, Sven
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            – D: 01
              M: 05
              Text: May2011
              Type: published
              Y: 2011
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              Value: 23
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              Value: 5
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            – TitleFull: Neural Computation
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