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一个集成了8种降维方法的GUI（包括常见的PCA、LLE、isomap、HLLE等线性与非线性将为方法）,An integrated eight kinds of dimensionality reduction methods GUI (including common PCA, LLE, isomap, HLLE, etc. will be linear and nonlinear methods)
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一篇2000年流行的降维文章。学习降维必看。-Nonlinear Dimensionality Reduction by Locally Linear Embedding
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局部线性嵌入LLE，是一种非常高效的非线性降维方法，本文PPT主要介绍了LLE算法的实现过程，同时分析了其参数的选择，和MATLAB的仿真实现-Locally linear embedding LLE, is a very efficient nonlinear dimensionality reduction method, this paper mainly introduced the PPT LLE algorithm realization process, and analyzes
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LLE流行算法可以在保持原来数据拓扑结构的条件下实现数据的非线性降维。-LLE popular algorithms can maintain the original data in the topology of the data without becoming realized under conditions of nonlinear dimensionality reduction.
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