Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
535369 | Pattern Recognition Letters | 2006 | 8 Pages |
Abstract
Recently, Su and Chou presented an efficient point symmetry-based K-means algorithm. Extending their point symmetry-based K-means algorithm, this paper presents a novel line symmetry-based K-means algorithm for clustering the data set with line symmetry property. Based on some real data sets, experimental results demonstrate that our proposed line symmetry-based K-means algorithm is rather encouraging.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Kuo-Liang Chung, Keng-Sheng Lin,