Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.

通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。

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This paper introduced a new feature selection method, which first used clustering to reduce redundancy among features and then used Information Gain to choose good features.

针对这一问题，提出了一种基于聚类的特征选择方法，先使用聚类的方法对特征间的冗余性进行裁减，然后使用信息增益的方法选取类别区分能力强的特征。

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Method of collaboration customer selection based on fuzzy clustering and incidence matrix;

提出一种基于关联矩阵的网络拓扑辨识方法。

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