Description: 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而
可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别
层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in an effective method to data from high dimensional data space transformation to the low-dimensional feature space, which can be used for data feature extraction and compression and so on. In this paper, the shape recognition system using PCA extraction of the shape of image features, can be used to satisfy the identification requirements of the input layer. In the recognition layer studied three kinds of identification methods: nearest neighbor rule, BP network and the synergetic neural network methods, have achieved a satisfactory experiment results. Platform: |
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Author:陈平 |
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Description: 主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction. Platform: |
Size: 8192 |
Author:武锐 |
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Description: 一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。-A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction. Platform: |
Size: 2048 |
Author:xiaolinzi |
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Description: 对UCI数据集之一进行PCA特征抽取实验,给出在二维PCA特征空间的数据散点图。-UCI data sets on one of PCA feature extraction experiments are given in the two-dimensional PCA feature space of the data scatter. Platform: |
Size: 1024 |
Author:chris |
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Description: 用来进行主成分分析，实现数据压缩功能，也可以做特征提取与分类-Be used for principal component analysis, data compression, you can also do feature extraction and classification Platform: |
Size: 395264 |
Author:胡振 |
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Description: 应用PCA进行特征提取和降维，可以应用于数据挖掘，机器学习，人脸识别上！-Application of PCA for feature extraction and dimensionality reduction can be applied to data mining, machine learning, face recognition on! Platform: |
Size: 1024 |
Author:choushi |
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Description: The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing
A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selection is a process whereby a data space is transformed into a feature space that theory has exactly same dimension as the original data space. However the transformation is designed in such a way that the data set is represented by a reduced number of “effective features” and most of the intrinsic information content of the data or the data set undergoes a dimensionality reduction.
PCA Platform: |
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Author:binu |
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Description: pca算法实现人脸识别，包括数据图片，特征提取算法，最近邻分类器算法-pca algorithm for face recognition, including data pictures, feature extraction algorithm, nearest neighbor classifier algorithms, etc. Platform: |
Size: 584704 |
Author:胡长晖 |
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Description: 目前，pca算法已经广泛应用于各方面，就拿图像处理，经常做的一件事就是当提取的图像特征维度比较高时，为了简化计算量以及储存空间，需要对这些高维数据进行一定程度上的降维，并尽量保证数据的不失真。-Currently, pca algorithm has been widely used in various aspects, Take image processing, often do one thing when the dimensions of the image feature extraction is relatively high, in order to simplify the calculation and storage space, the need for these high-dimensional data to a certain extent dimensionality reduction on, and try to ensure that data is not distorted. Platform: |
Size: 2048 |
Author:chengbo |
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Description: 用于运动捕获数据的降维，可以提取极值点，进行关键帧提取或运动分割-Dimensionality reduction for motion capture data can be extracted extreme points, keyframe extraction or motion segmentation Platform: |
Size: 154624 |
Author:曹文波 |
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Description: 基于LABVIEW 环境编写的PCA程序，可以实时实现数据的特征提取。-LABVIEW-based environment for the preparation of the PCA program, you can achieve real-time feature data extraction. Platform: |
Size: 414720 |
Author:胡勇 |
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Description: 能够实现对多维数据的PCA主元分析，对数据降维，提取主元。-PCA principal component analysis can be achieved, for data dimensionality reduction, extraction PCA Platform: |
Size: 1024 |
Author:wbz |
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Description: 利用PCA算法进行特征提取和数据降维，再用SVM算法进行人脸识别的程序，里面有人脸数据库！-Use PCA algorithm for feature extraction and data reduction, and then SVM algorithm recognition program, which was face ! Platform: |
Size: 3792896 |
Author:dubiao |
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Description: 是学习PCA特征提取的很好的学习资料，主要为数据分析和统计，采用热核构造权重，关于神经网络控制，到达过程是的泊松过程，使用大量的有限元法求解偏微分方程。- Is a good learning materials to learn PCA feature extraction, Mainly for data analysis and statistics, Thermonuclear using weighting factors On neural network control, Arrival process is a Poisson process, Using a large number of finite element method to solve partial differential equations. Platform: |
Size: 8192 |
Author:hvbaxp |
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Description: 可以动态调节运行环境的参数，借鉴了主成分分析算法（PCA），插值与拟合，解方程，数据分析，解耦，恢复原信号，用于信号特征提取、信号消噪。- Can dynamically adjust the parameters of the operating environment, It draws on principal component analysis algorithm (PCA), Interpolation and fitting, solution of equations, data analysis, Decoupling, restore the original signal, For feature extraction, signal de-noising. Platform: |
Size: 6144 |
Author:jmwin |
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Description: 可以广泛的应用于数据预测及数据分析,结合PCA的尺度不变特征变换(SIFT)算法，用于信号特征提取、信号消噪，各种资源分配算法实现，使用大量的有限元法求解偏微分方程。-Can be widely used in data analysis and forecast data, Combined with PCA scale invariant feature transform (SIFT) algorithm, For feature extraction, signal de-noising, Various resource allocation algorithm, Using a large number of finite element method to solve partial differential equations. Platform: |
Size: 7168 |
Author:yhxmjmf |
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Description: 复化三点Gauss-lengend公式求pi，已调制信号计算其普相关密度，包含收发两个客户端的链路级通信程序,是学习PCA特征提取的很好的学习资料，多抽样率信号处理，主要为数据分析和统计，本程序的性能已经超过其他算法，实现了对10个数字音的识别程。- Complex of three-point Gauss-lengend the Formula pi, Modulated signals to calculate its density Pu-related, Contains two clients receive link-level communications program, Is a good learning materials to learn PCA feature extraction, Multirate signal processing, Mainly for data analysis and statistics, This program has exceeded the performance of other algorithms, Realization of 10 digital audio recognition progra. Platform: |
Size: 8192 |
Author:emecdyw |
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Description: music高阶谱分析算法，独立成分分析算法降低原始数据噪声，是学习PCA特征提取的很好的学习资料，主要为数据分析和统计，采用热核构造权重，使用matlab实现智能预测控制算法，有CDF三角函数曲线/三维曲线图，重要参数的提取。- music higher order spectral analysis algorithm, Independent component analysis algorithm reduces the raw data noise, Is a good learning materials to learn PCA feature extraction, Mainly for data analysis and statistics, Thermonuclear using weighting factors Use matlab intelligent predictive control algorithm, There CDF trigonometric curve/3D graphs, Extract important parameters. Platform: |
Size: 9216 |
Author:piwvk |
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Description: Gabor小波变换与PCA的人脸识别代码，用于信号特征提取、信号消噪，内含心电信号数据及运用MATLAB写的源代码。- Gabor wavelet transform and PCA face recognition code, For feature extraction, signal de-noising, ECG data and includes source code written in MATLAB. Platform: |
Size: 5120 |
Author:fei |
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Description: matlab编写的特征提取算法LDA和PCA，所用数据集为iris数据集-matlab prepared by the feature extraction algorithm LDA and PCA, the data set used for the iris data set Platform: |
Size: 2048 |
Author:乔伊 |
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Search - PCA for data extraction