Feature-Weighted Mountain Method with Its Application to Color Image Segmentation

In this paper, we propose a feature-weighted mountain clustering method. The proposed method can work well when there are noisy feature variables and could be useful for obtaining initial estimat of cluster centers for other clustering algorithms. Results from color image segmentation illustrate the...

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Bibliographic Details
Main Authors: Wen-Liang Hung, Miin-Shen Yang, Jian Yu, Chao-Ming Hwang
Format: Article
Language:English
Published: Atlantis Press 2011-10-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/2413.pdf