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chap_6

于 2011-05-02 发布 文件大小:20KB
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  很好的matlab学习资料,由浅到深的解析,附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)

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    该系统实现粗糙集合中的分辨矩阵与分辨函数的约简方法,该方法可以求出信息系统的属性约简(the system to achieve the rough set to distinguish function matrix and tell about Jane, The method can be used to find information system attribute reduction)
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    流形学习,局部线性嵌入式算法(LLE),一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同,LLE算法在单一的低维的全域坐标系统中表征采样空间,然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用,LLE能够描述非线性流形的全局结构,例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)
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