搜索资源列表
PCA
- pca主成分分析法，能够对高维数据进行降维，并能够实现分类-pca principal component analysis to reduce the dimensionality of high-dimensional data, and be able to achieve the classification
PCA_ORL
- 对人脸图片用PCA降维，提取特征脸，附上ORL数据库-dimension reduction using PCA to extract eigenfaces of face images and the ORL dataset will also be provided
mypca
- matlab下实现的pca降维算法,降低数据维数，保留数据的主特征-pca dimensionality reduction algorithm on matlab
pca
- pca算法实现，实现了一个数据降维方面的经典算法PCA-pca algorithm to achieve a data classic dimensionality reduction algorithm PCA
OpenCV-PCA-face-dimension-reduction
- OpenCV中PCA实现人脸降维，基于QT实现-OpenCV PCA face dimension reduction
pca
- pca数据降维程序，包括取均值、计算协方差矩阵等详细步骤。-the pca Data dimensionality reduction procedures, including averaging, calculated covariance matrix detailed steps.
PCA
- pca人脸识别 基于代数统计的方法是使用统计学观点提取基向量，之后将人脸向量投影到基向量上，得到的投影值即为不同的人脸图像特征，这种方法利于操作，比较灵活。本次设计采用PCA方法对人脸进行降维，提取特征。 -pca face recognition based on the statistical method Generation is extracted base vectors using a statistical point of view, and then the vector
PCA
- 主元分析是对数据进行平移和旋转变换，提取几个比较重要的变量来表示原始空间中的重要信息，实现对数据的降维-Principal component analysis for data translation and rotation transformation to extract a few of the more important variables to represent the important information in the original space, to achiev
Irispca
- Iris 数据集的pca降维，先对Iris数据集进行特征提取，数据归一化，并将结果用图像显示出来。-Iris dataset pca dimensionality reduction
PCAPLDA
- 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
LDPCCODE
- 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
pca
- 主成分分析（Principal Copmponent Analysis，简称PCA）是一种常用的机遇变量协方差矩阵对信息进行处理、压缩和提取的有效方法。主成分分析，这种方法可以有效的找出数据中最“主要”的元素和结构，去除噪音和冗余，将原有的复杂数据降维，能够发掘出隐藏在复杂数据背后的简单结构。-PCA (Principal Copmponent Analysis, abbreviated PCA) is a commonly used covariance matrix Opportunity
pca
- pca算法已经广泛应用于各方面，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。-pca algorithm has been widely used in various areas, when the extracted image feature dimension is relatively high, in order to simplify the calculation and storage space n
PCA
- 图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强-PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before
TYZmyPCA
- PCA算法的matlab程序。本代码是对一维信号进行PCA降维处理的matlab函数。-PCA algorithm matlab program. This code is a one-dimensional signal processing PCA dimensionality reduction matlab function.
fastPCA
- 快速PCA算法，用于对大规模数据进行PCA降维，节省时间-fastPCA for large scale data which can save proceeding timE
pca
- 可用于高光谱图像处理的自己编的PCA函数,Matlab版的.主要作用是降维.-the pca function is used to hyperspectral image processing.
pca
- 经典主成分分析法，实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
KNN
- 基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
PCA
- 实现图像的降维处理,可以缩短大量的计算时间。-Dimensionality reduction of image processing, a lot of computation time can be shortened.