- 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
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).