搜索资源列表
-
0下载：
这是PCA主分量分析在matlab中的基本应用，可以理解和学习体会下,This is the principal component analysis PCA in matlab basic applications, and learning experience can be understood under the
-
-
0下载：
I present an expectation-maximization (EM) algorithm for principal
component analysis (PCA).
-
-
0下载：
介绍结合LDA与PCA算法的优化分类方法，提出了一般情况下LDA及PCA的计算方法-An Optimal Transformation for Discriminant and Principal Component Analysis
-
-
0下载：
提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上
进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
-
-
0下载：
SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo
-
-
0下载：
主成分分析的主要目的是希望用较少的变量去解释原来资料中的大部分变异，将我们手中许多相关性很高的变量转化成彼此相互独立或不相关的变量。通常是选出比原始变量个数少，能解释大部分资料中的变异的几个新变量，即所谓主成分，并用以解释资料的综合性指标。由此可见，主成分分析实际上是一种降维方法。-The main purpose of PCA is to use fewer variables to explain most of the variation of the original data will
-
-
0下载：
pc 理论分析与应用 ，详细介绍了 pca主成分分析法的应用-pc theoretical analysis and application, details of the pca principal component analysis of the application
-
-
0下载：
Teaching about pca - principal component analysis. you can learn how pca work and what eigenfaces is?
-
-
0下载：
In order to fulfill the implementation of this project there are three main objectives that need to be achieved:
1. To learn and apply a technique for object recognition for single and multiface detection.
2. To examine the principal compon
-
-
0下载：
主成分分析，load数据可运行，有注释，简单易懂。-Principal component analysis，loading the data can run program.
-
-
0下载：
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 linearly uncorrelated variables called principal component
-
-
0下载：
Support vector regression has been proposed in a number of image processing tasks including blind
image deconvolution, image denoising and single frame super-resolution. As for other machine learning
methods, the training is slow. In this paper,
-
-
0下载：
Support vector regression has been proposed in a number of image processing tasks including blind
image deconvolution, image denoising and single frame super-resolution. As for other machine learning
methods, the training is slow. In this paper,
-
-
0下载：
Support vector regression has been proposed in a number of image processing tasks including blind
image deconvolution, image denoising and single frame super-resolution. As for other machine learning
methods, the training is slow. In this paper,
-
-
0下载：
基于PCA主成分分析算法的人脸识别，包括Matlab代码及原理的PPT
-Face recognition algorithm based on PCA principal component analysis, including Matlab code and the principle of the PPT
-
-
0下载：
使用Matlab实现的关于主分量分析PCA的方法的案例，可先实现仿真-Matlab achieved using principal component analysis PCA on the case method, the simulation can be achieved
-
-
0下载：
为实现合格和缺陷板栗的分级， 研究了 1 种基于 BP 神经网络与板栗图像特征的板栗分级方法。 试验以罗田板
栗为研究对象， 提取的颜色及纹理等 8 个特征值， 通过主成分分析提取相应的主成分得分向量构成模式识别的输入。 利
用 BP 神经网络方法建立了板栗分级模型。 试验结果表明， 在图像信息主成分因子数为 3， 中间层节点数为 12 时， 建立
的模型最佳， 模型训练时的回判率为 100 ， 预测时识别率达到了 91 .67 。 研究结果表明基于机器视觉技术的针对缺陷
板栗分
-
-
0下载：
PCA主成分分析算法，是图像处理的一种数据降维算法-PCA principal component analysis algorithm, is a dimensionality reduction algorithm for image processing of data
-
-
0下载：
Principal Component Analysis(PCA)主成分分析，Matlab实例代码，主成分分析-Principal Component Analysis(PCA)，matlab
-
-
0下载：
PenSim Data
Simulated data for training set for Partial Least Square (PLS) or Principal Component Analysis (PCA) Fault Detection
-
