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【Special Effects】 a3 DL : 0: 人脸识别中的主成分分析方法，通过对训练集和测试集的比对匹配，来输出识别率。-Face Recognition in the principal component analysis, through the training set and test set than on the match, to output the recognition rate.
Update : 2024-05-19 Size : 1024 Publisher : wangzhao
【matlab】 PCA DL : 0: Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.
Update : 2024-05-19 Size : 1024 Publisher : soroosh
【matlab】 pca DL : 0: principal and independent components analysis
Update : 2024-05-19 Size : 5120 Publisher : saravanan
【matlab】 PCA_valoriPvectori_proprii DL : 0: Principal component analysis for a voice signal
Update : 2024-05-19 Size : 36864 Publisher : cristina
【matlab】 zcf DL : 0: 使用matlab对大数据集进行主成份分析-Matlab for large data sets using principal component analysis for
Update : 2024-05-19 Size : 1024 Publisher : 李静
【matlab】 PCA DL : 0: 采用数字图像主分量分析（PCA）算法实现人脸识别（身份认证或分类）-Principal components using digital image analysis (PCA) algorithm for face recognition (identity or category)
Update : 2024-05-19 Size : 491520 Publisher : Changhuai Chen
【matlab】 kpca DL : 0: 基于聚类分析的核主成分分析，简单实用，希望对大家有帮助。-Based on cluster analysis of kernel principal component analysis, simple and practical, we want to help.
Update : 2024-05-19 Size : 1024 Publisher : piano
【matlab】 CKPCA-HOG-SVM DL : 0: 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms, and two and a support vector machine decision tree classification algorithm of moving objects.
Update : 2024-05-19 Size : 544768 Publisher : piano
【matlab】 MATLAB-PC DL : 0: matlab实现主成分分析，提取几个主成分，实现贡献计算。-matlab to achieve the principal component analysis
Update : 2024-05-19 Size : 8192 Publisher : zc
【matlab】 zhuchenfen DL : 1: 主成分分析法的程序,对几个因素进行主成分分析-Principal component analysis of the program, the principal component analysis of several factors
Update : 2024-05-19 Size : 1024 Publisher : liuyanan
【matlab】 PCA DL : 0: 使用principal component analysis PCA减少特征数目-Use principal component analysis (PCA) to reduce the number features.
Update : 2024-05-19 Size : 25600 Publisher : 陈一夫
【matlab】 PCA DL : 0: 主元分析方法，主要用于提取主元，数据降维-Principal components analysis
Update : 2024-05-19 Size : 1024 Publisher : nwu
【Special Effects】 pca DL : 0: 主成分分析算法实例子，采用Karhunen-Loeve 算法设计-Instances of sub-principal component analysis algorithm, algorithm design using Karhunen-Loeve
Update : 2024-05-19 Size : 2048 Publisher : zhenping
【AI-NN-PR】 PCAPX DL : 0: 主元分析法实现故障诊断的算法的实现代码。可以实现对工业过程的故障诊断。-Principal component analysis for fault diagnosis algorithm implementation code. Can be achieved for fault diagnosis of industrial processes.
Update : 2024-05-19 Size : 1073152 Publisher : 李博
【Special Effects】 Components-Analysis DL : 0: 一个非常通俗易懂的主成分分析教程，给出了主成分分析在计算机视觉中的应用，最后给出了主成分分析的代码。-A very easy to understand tutorial principal component analysis, principal component analysis is given in the application of computer vision, and finally gives the principal component analysis of the code.
Update : 2024-05-19 Size : 4096 Publisher : 李涵
【AI-NN-PR】 PCA DL : 0: 本篇文章提供了一些对于主成分分析法matlab源码分析解释，简单，中文解释。-This article provides some of the principal component analysis for matlab source code analysis and interpretation, simple Chinese explanation.
Update : 2024-05-19 Size : 5120 Publisher : 张丽娜
【matlab】 walker DL : 0: 人生路模拟人体结构实现性别辨别，研究肌肉速度肩宽对速度的影响-matlab WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?
Update : 2024-05-19 Size : 2048 Publisher : 张洋
【AI-NN-PR】 KPCA DL : 0: 将核思想运用到主成分分析中，使其映射到高维空间，而计算主成分的目的是将高维数据投影到较低维空间。-Kernel Principal Component Analysis
Update : 2024-05-19 Size : 1024 Publisher : caolinlin
【matlab】 SVMPCA DL : 0: 在机器学习中经常会用到支持向量机，该代码是再使用支持向量机前对数据进行主成分分析的代码-We often meet support vector machine in machine learning , the code is about the principal component analysis befor using support vector machine (SVM).
Update : 2024-05-19 Size : 1024 Publisher :
【Algorithm】 CMatrix DL : 0: 对称矩阵相关元算，主成分分析(PCA)， fisher discriminant analysis(FDA).，-Introduction ============ This is a class for symmetric matrix related computations. It can be used for symmetric matrix diagonalization and inversion. If given the covariance matrix, users can utilize the class for principal component analysis(PCA) and fisher discriminant analysis(FDA). It can also be used for some elementary matrix and vector computations. Usage ===== It s a C++ program for symmetric matrix diagonalization, inversion and principal component anlaysis(PCA). To use it, you need to define an instance of CMatrix class, initialize matrix, call the public funtions, and finally, free the matrix. For example, for PCA, CMarix theMat // define CMatrix instance float** C // define n*n matrix C = theMat.allocMat( n ) Calculate the matrix (e.g., covariance matrix from data) float*phi,*lambda // eigenvectors and eigenvalues int vecNum // number of eigenvectors (<=n) phi = new float [n*vecNum] lambda = new float [vecNum] the
Update : 2024-05-19 Size : 63488 Publisher : 朱

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