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一个ICA工具。This binary version of the runica() function of Makeig et al. contained
in the EEG/ICA Toolbox runs 12x faster than the Matlab version. It uses
the logistic infomax ICA algorithm of Bell and Sejnowski, with natural
gradient and extended
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This paper develops an efficient classification algorithm called UDP, which reduces the high dimension of sample to low dimensional subspace simply said as dimensionality reduction.UDP takes into account both the local and non-local quantities. It ca
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这个程序是做课程设计用的，希望对有需要的同学进行有帮助，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This procedure is done with the course design, and I hope there is a need for students to help, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimens
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这个程序是在国外的网站下载，希望对有需要的同学有用，PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-This program is downloaded from the website in a foreign country, I hope to needy students useful, PCA+LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimen
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matlab下编译的pca算法进行数据减维程序，适合初学者使用-Pca algorithm for data dimension reduction, suitable for beginners to use
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This the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then KNN is applied for classification.-This is the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then
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这是一个人机交互界面，里面包含了PCA、MDS、流形学习等一些算法供大家使用-This is a human-computer interaction interface, contains the some algorithms such as PCA, MDS, manifold learning for all to use
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this about principle component analysis is used for dimension reduction -this is about principle component analysis is used for dimension reduction
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主成分分析PCA降维，欧氏距离分类，训练与测试与识别完整的流程-Principal component analysis PCA dimension reduction, Euclidean distance classification, training and testing and identification process complete
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lle降维，可以参考非线性降维的方法，感觉没lda好用，比pca还行(LLE dimension reduction)
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实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
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在信号处理技术中，使用PCA非线性降维。(Non-linear dimension reduction using kernel PCA.)
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PCA主成分分析源代码，PCA是用于降维是经典方法，现在仍有很多人用主成分分析方法进行降维，降低算法复杂度。(PCA is the source code of principal component analysis. PCA is a classical method for dimensionality reduction. Many people still use principal component analysis to reduce dimension and reduce a
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利用python编写的文本预处理的程序，包含了每一步的实现代码，分为删除标点符号、删除停用词、相似度计算、PCA降维、聚类以及可视化等，运行环境为pytharm，python3开发环境(The text preprocessing program written by Python contains every step of implementation code, which is divided into delete punctuation marks, delete stop word
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应用于数据降维的一种MATLAB程序，可以实现从高维到低维的降解(A matlab program applied to data dimensionality reduction can realize the degradation from high dimension to low dimension)
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