一种自治的山地聚类方法

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527771

P. J. Costa Branco, N. Lori, J. A. Dente

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引用次数: 2

摘要

本文提出了一种基于Yager和Filev(1994)提出的山函数的自主聚类算法。利用聚类再分配的方法来解决参数选择问题，降低网格粒度对算法性能的影响。这些问题的解决大大提高了实现自主山地集群进程的可能性。详细说明了所提出的聚类方法，并对其性能进行了实例分析。

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An autonomous approach to the mountain-clustering method

This paper presents an autonomous approach to the clustering algorithm based on a mountain function proposed by Yager and Filev (1994). It intends to answer the parameter selection problem and attenuate the effects of the granularity of the griding in algorithm's performance using a cluster reallocation procedure. The solving of those problems has greatly enhanced the possibility of achieving an autonomous mountain-clustering process. The proposed clustering approach is explained in detail and examples of its performance are analyzed.

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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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