文化大學機構典藏 CCUR:Item 987654321/22942
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/22942


    题名: Feature-Weighted Mountain Method with Its Application to Color Image Segmentation
    作者: Hung, Wen-Liang)1;Yang, MS (Yang, Miin-Shen)2;Yu, J (Yu, Jian)3;Hwang, CM (Hwang, Chao-Ming
    贡献者: 應用數學系
    关键词: ALGORITHM
    日期: 2011-09
    上传时间: 2012-09-07 11:11:36 (UTC+8)
    摘要: 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 proposed method actually produces better segmentation than previous methods.
    關聯: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS Volume: 4 Issue: 5 Pages: 1002-1011
    显示于类别:[應數系] 期刊論文

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