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...
Main Authors: | , , , |
---|---|
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 |