Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification

Clustering is used to detect sound structures or patterns in a dataset in which objects positioned within the same cluster exhibit a substantial level of similarity. In numerous clustering problems, patterns is not easily separable due to the highly complex shaped data. In the previous studies, kern...

Full description

Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 68; pp. 205 - 213
Main Authors:	Mai, Sinh Dinh, Ngo, Long Thanh
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2018
Subjects:	Fuzzy clustering Kernel fuzzy c-means Land cover classification Multiple kernel Semi-supervised clustering Land cover classification Fuzzy clustering Semi-supervised clustering Kernel fuzzy c-means Multiple kernel
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!