The Resource A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications, by Dmitri A. Viattchenin, (electronic resource)

A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications, by Dmitri A. Viattchenin, (electronic resource)

Label
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
Title
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications
Statement of responsibility
by Dmitri A. Viattchenin
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
The present book outlines a new approach to possibilistic clustering in which the sought clustering structure of the set of objects is based directly on the formal definition of fuzzy cluster and the possibilistic memberships are determined directly from the values of the pairwise similarity of objects. The proposed approach can be used for solving different classification problems. Here, some techniques that might be useful at this purpose are outlined, including a methodology for constructing a set of labeled objects for a semi-supervised clustering algorithm, a methodology for reducing analyzed attribute space dimensionality and a methods for asymmetric data processing. Moreover, a technique for constructing a subset of the most appropriate alternatives for a set of weak fuzzy preference relations, which are defined on a universe of alternatives, is described in detail, and a method for rapidly prototyping the Mamdani’s fuzzy inference systems is introduced. This book addresses engineers, scientists, professors, students and post-graduate students, who are interested in and work with fuzzy clustering and its applications
Member of
http://library.link/vocab/creatorName
Viattchenin, Dmitri A
Image bit depth
0
LC call number
Q342
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Studies in Fuzziness and Soft Computing,
Series volume
297
http://library.link/vocab/subjectName
  • Engineering
  • Data mining
  • Artificial intelligence
  • Engineering
  • Computational Intelligence
  • Data Mining and Knowledge Discovery
  • Artificial Intelligence (incl. Robotics)
Label
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications, by Dmitri A. Viattchenin, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Heuristic Algorithms of Possibilistic Clustering -- Clustering Approaches for the Uncertain Data -- Applications of the Heuristic Algorithms of Possibilistic Clustering
Dimensions
unknown
Extent
XII, 227 p. 98 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783642355363
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-35536-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-35536-3
Label
A Heuristic Approach to Possibilistic Clustering: Algorithms and Applications, by Dmitri A. Viattchenin, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Heuristic Algorithms of Possibilistic Clustering -- Clustering Approaches for the Uncertain Data -- Applications of the Heuristic Algorithms of Possibilistic Clustering
Dimensions
unknown
Extent
XII, 227 p. 98 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9783642355363
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-642-35536-3
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-35536-3

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