Article ID Journal Published Year Pages File Type
535369 Pattern Recognition Letters 2006 8 Pages PDF
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
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