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Elementary cluster analysis : four basic methods that (usually) work / James C. Bezdek.

By: Material type: TextTextLanguage: English Series: River Publishers series in mathematics, statistics and computational modellingPublisher: Gistrup : River Publishers, 2022Edition: 1stDescription: xlvii, 467 p. : ill. (some col.) ; 27 cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9788770224253 (Hardback)
Subject(s): Additional physical formats: Print version :: No titleDDC classification:
  • 519.53028557 23
Contents:
I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering – GMD/EM 8 Relational Clustering – The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
წიგნი წიგნი ეროვნული სამეცნიერო ბიბლიოთეკა 1 საცავი. 1 კორპ. 519.712 (Browse shelf(Opens below)) 3E25857 Available 2023-1331

Previously issued in print: 2021.

Academic

I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering – GMD/EM 8 Relational Clustering – The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data

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