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该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法,也有典型的流形学习算法,如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
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MATLAB源程序,主成分分析法(PCA),这是一种降维的方法,可以用于多通道数字信号处理-MATLAB source code, principal component analysis (PCA), which is a dimension reduction method can be used for multi-channel digital signal processing
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用pca 和 lda 实现数据的降维,加快机器的特征提取的速度。-Pca and lda of data with dimension reduction, feature extraction to speed up the speed of the machine.
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This file implement PCA algorithm for dimension reduction and clustering techniques.
Principle Component Analysis, Dimension reduction, Clustering.
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一个用PCA和LDA降维,并用knn分类的人脸识别例程-A dimension reduction using PCA and LDA, and face recognition with the knn classification routines
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PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序,根据需要取前面最重要的部分,将后面的维数省去,可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。-A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component&qu
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Principal component analysis for dimension reduction
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pca特征向量提取 利用pca的方法获取特征植及特征向量 最后可以自己根据需要降维-pca pca feature vector extraction method using characteristics of plants and to obtain the final feature vector dimension reduction can be their own as needed
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pca降维 在pca提取vd后可以利用降维进行更加简便的操作-pca pca extraction vd dimension reduction in the dimensionality reduction can be used after a more simple operation
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模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维,然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码,又有自己写的报告,还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释,很容易懂。最后结果输出到txt文件中。-Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduct
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Dimension reduction using principal component analysis.
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这是关于PCA主成分分析降维,文件夹里有.mat格式的数据文件,里面数据可供测试PCA降维使用。-This is about PCA principal component analysis dimension reduction, folder. Mat data file format, data available for test use PCA dimensionality reduction.
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可以很好的实现流形学习算法中的线性降维算法PCA数据降维。-Can well realize the manifold learning algorithm of linear dimension reduction algorithm of PCA data dimension reduction.
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支持向量机用于训练和分类,包括PCA降维等函数-Support vector machines for training and classification, including functions such as PCA dimension reduction
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matlab人脸识别代码,用了PCA降维处理,可以进行简单的人脸识别-Face recognition matlab code, using the PCA dimension reduction, face recognition can be a simple
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PCA人脸识别降维,可重构图像观察降维效果-Face recognition PCA dimension reduction, can test the effect of dimensionality reduction
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pca程序,主要是用于对图像的pca降维-It is mainly used for the image dimension reduction pca
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主成分分析(PCA)的MATLAB源程序,数据降维处理-Principal component analysis (PCA) of MATLAB source, data dimension reduction process.
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此程序利用pca降维技术对人脸图像进行识别,人脸来自于数据库,共40个人,每个人10张图像-This program uses PCA dimension reduction technology for face recognition, face the , a total of 40 individuals, each of the 10 images
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采用经典的ORL人脸数据集,利用PCA进行进行降维,然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
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