基于双重近邻图的有监督流形学习算法

Journal of West Anhui University(2015)

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Abstract
提出了一种有监督的流形学习算法,算法首先构建双重近邻图,即类内近邻图和类间近邻图,从而获得相应的类内邻接矩阵和类间邻接矩阵,并在LPP框架下构建最优的低维嵌入.人工合成数据和实际数据上的实验都表明了所提算法优于一些线性和非线性的嵌入算法.
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