两阶段混合因子分析算法被引量：3

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摘要混合因子分析是一种对具有复杂结构的多维数据建立模型的方法.提出了一种两阶段的混合因子分析算法,它们都能够使用期望-最大化算法来实现.当给定一组随机样本时,首先建立此样本概率分布的Gauss混合模型,进而再对每一个Gauss混合项进行因子分析.实例表明算法是有效的.

作者岳博焦李成

机构地区西安电子科技大学雷达信号处理重点实验室

出处《自然科学进展》北大核心 2002年第2期219-222,共4页

基金国家自然科学基金(批准号:60073053)

关键词两阶段混合因子分析数据建模 Gauss混合模型 EM算法

参考文献6

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自然科学进展

2002年第2期

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