搜索资源列表
pca
- 运用pca算法降维,提取主要特征值,从而达到降维目的-Dimensionality reduction using pca algorithm, extract the main features of the value of
FunFDA
- FunFDA模式识别中特征提取中的数据降维的一种算法-fisher discriminant analysis
PCA
- 优化后的PCA 能对数据进行降维 很实用-PCA can be optimized for data dimensionality reduction is very useful
PCA
- 用于模式识别中的PCA降维输入数据data和option。data是一个矩阵,每一行代表一个样本。option是选择降维到多少维。-[eigvector, eigvalue] = PCA(data, options) [eigvector, eigvalue] = PCA(data)
PCA
- 主成分分析的代码,降维的工具,特征提取降维的工具-PCA code
31767689LPP_MatlabCode
- lPP 用于数据降维 很好用 希望能派上用场-LPP be use to dimension reduction
MatlabDimensionReductionToolbox
- 经典的降维方法集合,包含近代诸多算法,由马大博士生编著。-The Matlab Toolbox for Dimensionality Reduction contains Matlab implementations of 32 techniques for dimensionality reduction. A large number of implementations was developed from scratch, whereas other implementations ar
pls
- 所谓偏最小二乘法,就是指在做基于最小二乘法的线性回归分析之前,对数据集进行主成分分析降维,下面的源码是没有删减的,GreenSim团队免费提供您使用,转载请注明GreenSim团队(http://blog.sina.com.cn/greensim)。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
LLDE
- llde程序是一个用于降维的程序。用于降低数据的维数,更好精简冗余信息。-ddle is used for data dimention reduction.
renlianshibie
- 利用PCA对人脸图像进行降维,然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
pca
- PCA降维方法,这是一个针对图像处理的PCA降维处理方法-The method of PCA,whic is used in the image processing.
PCADR
- 用于特征降维人脸识别等多元数据分析的主分量分析投影的Matlab代码实现。-For feature reduction and other multivariate data analysis, face recognition principal component analysis projection of the Matlab code implementation.
GAjiangwei27
- 遗传算法 优化 计算 建模 自变量 降维 -Genetic Algorithms Modeling Reduced variables
PCA
- 对图像进行降维,用少量图像的主成分去描述整个图像以提高系统的效率。-Reduce the dimensions of the image, with a small amount of the principal component image to describe the whole image to improve the efficiency of the system.
empca
- PCA特征降维,用于图像处理人脸识别等模式识别领域和数据挖掘两领域-PCA feature reduction, image processing for face recognition and other pattern recognition and data mining of two areas
jiangwei2
- 降维状态观测器是非常重基于T变换的降维观测器设计方法。要的一类观测器-Reduced-order state observer is very important dimension reduction based on T transform observer design method. To a class of observer
lmvu
- 一个利用半正定规划求解 SDE/MVU 非线性数据降维的算法实现,这是论文原作者提供的 MATLAB 代码。-A MATLAB implementation of the Semi-Definite Embedding (SDE) or namely Maximum Variance Unfolding (MVU) algorithm, provided by the author himself.
pcasearch
- 基于焊接图片的pca降维,knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
PCAandLDA
- 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.
pca
- 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