The algorithm USES the Expectation Maximization (EM) clustering method to identify clusters and their sequences.

该算法采用期望最大化(EM)聚类分析方法来识别分类及其顺序。

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We resort to expectation maximization (EM) algorithm for both the estimation of model parameters and the coping with missing values.

这里，期望最大化算法既用来处理丢失值又用来估计模型参数。

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This paper proposes to overcome those problems by incorporating the improved RPCL (rival penalized competitive learning)algorithm and the EM(expectation maximization)algorithm into the EBF structure.

本文提出用结合改进的RPCL算法和EM算法的EBF网络结构来解决上述问题。

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