Abstract/Details

A statistical fuzzy grade-of-membership approach to unsupervised data clustering with application to remote sensing


1996 1996

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Abstract (summary)

A fuzzy Grade-of-Membership (GoM) paradigm in the context of unsupervised data clustering is presented. GoM partitioning characteristics are examined through theoretical and empirical means, revealing a robust and general framework. GoM is compared and contrasted with three conventional algorithms, namely, vector quantization (VQ), fuzzy c-means (FCM), and deterministic annealing (DA). The comparison is facilitated by a restatement of equations in a form that reveals fundamental mathematical relationships and suggests an approach to efficient practical implementation. Here, GoM distinguishing characteristics are highlighted, strengths and limitations are identified, and applicability conditions are established. Developed theory is confirmed and GoM partitioning characteristics are further illuminated by experimental comparison of GoM, VQ, FCM, and DA partitioning for several simulated annealing and reduced complexity stochastic relaxation is also developed and presented here. GoM partitioning is newly applied to a remote sensing problem with cloud climatology data. In particular, monthly cloud product data from NASA's International Satellite Cloud Climatology Project (ISCCP), is examined for climatic classification.

Indexing (details)


Subject
Electrical engineering;
Statistics;
Remote sensing
Classification
0544: Electrical engineering
0463: Statistics
0799: Remote sensing
Identifier / keyword
Applied sciences; Pure sciences
Title
A statistical fuzzy grade-of-membership approach to unsupervised data clustering with application to remote sensing
Author
Talbot, Lisa Mecham
Number of pages
183
Publication year
1996
Degree date
1996
School code
0022
Source
DAI-B 57/08, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780591073973, 0591073978
Advisor
Tolley, H. Dennis
University/institution
Brigham Young University
University location
United States -- Utah
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9701124
ProQuest document ID
304306190
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304306190
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