中国最大的综合性文献数据库 -维普资讯 关键词: 方向相似性 鲁棒聚类算法 聚类有效性[gap=1359]Key words: directional similarity ; robust clustering algorithm ; clustering validity
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The robust K-plane clustering algorithm can reduce the sensitivity of the traditional K-plane clustering algorithm to noises and the predefined number of clustering is not necessary.
本算法改进传统算法对噪声点敏感的缺点，并解决了传统超平面聚类初始需要指定聚类数目的不足。
Consequently, with robust IT2PCM clustering algorithm as main tool, a rapid-prototyping approach to interval type-2 fuzzy modeling is proposed.
以鲁棒it 2 P CM算法为主要工具，建立了一种快速原型方法进行区间类型2模糊建模。
Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.
同时改进了现有的直觉模糊聚类算法中的概率型约束条件，使其对噪声和野值点具有较好的鲁棒性。
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