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这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。-This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and si
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利用matlab的PCA对不同人的不同动作的图形分类-Matlab using the PCA of the different people of different graphical classification action
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标准化后进行PCA特征提取，然后聚类分类-After standardized PCA feature extraction, clustering and classification
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贝叶斯理论，PCA等等数学方法用于编程实现约简、分类等多种功能。-Bayesian theory, PCA, etc. The method has been applied mathematical programming to achieve reduction, classification and many other features.
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包括pca和lda两个文件，先用pca降维后进行lda进行分类，用于人脸识别，实验结果很好。-It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.
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实现lda分类，在实验中运行效果很好，优于PCA-used in lda classification,get good performance in test,better than PCA
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基于PCA的图像分类的方法，该方法效果好，易理解。-PCA-based image classification method, the method effective, easy to understand.
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基于焊接图片的pca降维，knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
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利用主成份分析PCA和傅立叶变换训练图像并用最近邻法进行识别分类-Using principal component analysis PCA and Fourier transform training images and used to identify the nearest neighbor classification method
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基于扩展PCA的图像分类技术，电子书的，选择-Image Classification Based on Extended PCA technology, e-books, and select the next lower
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Program for Face Recognition (with example ORL Data base) used PCA. It showed all process data reduction, classification end visualisation
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一个PCA的Matlab程序实例，应用于多维参数的自动降维和分类-The Matlab program example of a PCA applied to the automatic multi-dimensional parameter dimension reduction and classification
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The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/pro
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首先计算掌纹图像二维Gabo r小波变
换系数的幅值, 将其作为掌纹图像的原始特征 其次, 利用
2DPCA 实现原始特征的降维 然后, 利用PCA 与FLD 的融合算
法进行二次降维的同时提取出最有利于分类的鉴别特征 最后,
利用最近邻算法进行掌纹的分类识别。
-First calculate the two-dimensional Gabo r palmprint image wavelet coefficients of magnitude, its character
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pca做特征降维，然后进行特征空间随机分割构造多个svm分类器，并行处理，对样本进行分类，基于特征空间的svm多分类器-using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature sp
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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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人脸识别与分类，将人脸库图像进行PCA变换，再利用三近邻分类器进行分类和识别-Face Recognition and Classification
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a classification base on Baysian classifier , I did pca, lda, normalization on features either
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a good algorithm for classification performance improvement (use PCA and LDA respectively and then implement the resulted data set into your classifier)
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课程设计源代码，实现功能在文档内有介绍。内含knn、bayes识别及pca、lda进行特征提取多种算法，运行参照readme。-The project source code.The realized function is introduced in the pdf document in the files including knn,bayes classification and pcd,lda feature extraction algorithms.Please read read
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