Journal of Siberian Federal University. Engineering & Technologies / Fuzzy Clusters with Volume Prototypes in the Thematic Processing of the Earth Remote Sensing Data

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2017 10 (6)
Authors
Buchnev, Aleksey A.; Pyatkin, Valeriy P.
Contact information
Buchnev, Aleksey A.: Institute of Computational Mathematics and Mathematical Geophysics SB RAS 6 Akademika Lavrentieva, Novosibirsk, 630090, Russia; ; Pyatkin, Valeriy P.: Institute of Computational Mathematics and Mathematical Geophysics SB RAS 6 Akademika Lavrentieva, Novosibirsk, 630090, Russia;
Keywords
fuzzy clustering; volume prototypes; clusters similarity; extended C-means algorithm; extended Gustafson-Kessel algorithm
Abstract

The fuzzy clustering technology of the Earth remote sensing data, based on extended C-means and Gustafson-Kessel algorithms, is discussed. The algorithms extensions consist of clusters with volume prototypes construction and using of clusters similarity measure. The volume prototypes are less sensitive to a bias in the distribution of the data, and similar clusters are merged during clustering

Pages
723-726
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/35005

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