Water-body segmentation in satellite imagery applying modified Kernel K-means
The main purpose of k-Means clustering is partitioning patterns into various homogeneous clusters by minimizing cluster errors, but the modified solution of k-Means can be recovered with the guidance of Principal Component Analysis (PCA). In this paper, the linear Kernel PCA guides k-Means procedure...
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Main Authors: | , , , , , |
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Format: | Article |
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Faculty of Computer Science and Information Technology, University of Malaya
2018
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Online Access: | http://eprints.um.edu.my/20257/ https://doi.org/10.22452/mjcs.vol31no2.4 |
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