NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Collections About News Help Login
Back to Results
A fuzzy clustering algorithm to detect planar and quadric shapesIn this paper, we introduce a new fuzzy clustering algorithm to detect an unknown number of planar and quadric shapes in noisy data. The proposed algorithm is computationally and implementationally simple, and it overcomes many of the drawbacks of the existing algorithms that have been proposed for similar tasks. Since the clustering is performed in the original image space, and since no features need to be computed, this approach is particularly suited for sparse data. The algorithm may also be used in pattern recognition applications.
Document ID
19930020335
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Krishnapuram, Raghu (Missouri Univ. Columbia, MO, United States)
Frigui, Hichem (Missouri Univ. Columbia, MO, United States)
Nasraoui, Olfa (Missouri Univ. Columbia, MO, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 1
Subject Category
Computer Programming And Software
Accession Number
93N29524
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Related Records

IDRelationTitle19930020327Collected WorksNorth American Fuzzy Logic Processing Society (NAFIPS 1992), volume 1
No Preview Available