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MATLAB数据分析与挖掘实战

于 2019-12-15 发布
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说明:  本书作者从实践出发,结合大量数据挖掘工程案例及教学经验,以真实案例为主线,深入浅出地介绍数据挖掘建模中的有关任务:数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)

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MATLAB数据分析与挖掘实战.pdf, 17601130 , 2019-05-27

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    用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法(MCEM)的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
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    2010-06-05 11:18:11下载
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