Water-body segmentation in satellite imagery applying modified Kernel K-means

• 主要な著者: Yousefi, Paria, Jalab, Hamid Abdullah, Ibrahim, Rabha Waell, Mohd Noor, Nurul Fazmidar, Ayub, Mohamad Nizam, Gani, Abdullah
• フォーマット: 論文
• 出版事項: Faculty of Computer Science and Information Technology, University of Malaya 2018
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.um.edu.my/20257/; https://doi.org/10.22452/mjcs.vol31no2.4

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...