区间2型模糊共聚类算法

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2015-11-30 DOI:10.1109/FUZZ-IEEE.2015.7337960

Van Nha Pham, L. Ngo

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引用次数: 1

摘要

本文将模糊共聚类方法与区间2型模糊集相结合，提出了一种新的聚类方法。通过UC Berkeley图像数据集的实验验证了该算法对彩色图像进行聚类。实验结果表明，通过有效性指标对聚类质量进行评价，聚类质量优于以往的聚类方法。

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Interval type-2 fuzzy co-clustering algorithm

This paper introduces a novel clustering technique by combining fuzzy co-clustering approach and interval type-2 fuzzy sets. The proposed algorithm is demonstrated through experiments on UC Berkeley image data-sets to conduct clustering on color images. The experimental results show that the clustering quality is better by evaluating using validity indexes in comparison with previous methods.

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来源期刊

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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