基于核法的模糊c均值聚类算法

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI:10.1109/ICCIMA.2003.1238099

Zhongdong Wu, W. Xie, Jianping Yu

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引用次数: 194

摘要

本文在传统模糊c均值聚类算法的基础上，提出了一种模糊核c均值聚类算法。该算法将FCM与Mercer核函数相结合，解决了模糊聚类中的一些问题。结果表明，FKCM算法不仅适用于球形簇，也适用于其他非球形簇(如环形簇)。

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Fuzzy C-means clustering algorithm based on kernel method

In this paper, we propose a fuzzy kernel C-means clustering algorithm (FKCM) which is based on conventional fuzzy C-means clustering algorithm (FCM). This new FKCM algorithm integrates FCM with Mercer kernel function and deals with some issues in fuzzy clustering. The properties of the new algorithms are illustrated the FKCM algorithm is not only suitable for clusters with the spherical shape, but also other non-spherical shapes such as annular ring shape effectively.

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Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003

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