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...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 68; S. 205 - 213
Hauptverfasser:	Mai, Sinh Dinh, Ngo, Long Thanh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2018
Schlagworte:	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-Zugang:	Volltext
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