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...
| Автори: | , , , , , |
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| Формат: | Стаття |
| Опубліковано: |
Faculty of Computer Science and Information Technology, University of Malaya
2018
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| Предмети: |