搜索资源列表
PixelFusion
- 利用vc实现图像的融合,包括一些经典的图像融合算法和主成分分析实现图像的融合.-use vc image fusion including some classic image fusion algorithms and principal component analysis image integration.
pca
- 这是一个模式识别中关于主成分分析的特征提取的matlab源码-This is a pattern recognition on the Principal Component Analysis Feature Extraction of Matlab FOSS
mainfactoranalysis
- matlab《主成分分析》的源代码,是化学计量学的模式识别的主要程序。-matlab
PCA
- 主成分分析并用散点图分析前三个主成分M代码,请指教。-Principal component analysis and scatter analysis of the first three principal components M code, please advice.
pca
- 从物理意义的角度很好的解释了主成分分析法,是一篇很好的主成分分析入门文献。-Physical meaning from the perspective of a very good explanation of the principal component analysis method, is a good entry-principal component analysis literature.
zyy
- 用Matlab实现的简单的二维主成分分析算法,最后以点阵图输出结果-Using Matlab realize a simple two-dimensional principal component analysis algorithm, the final output to bitmap
pcamatlab
- 主成分分析法的matlab源程序,有用这种方法处理图像的不妨一试-Principal Component Analysis of the matlab source code, useful this method may wish to deal with images of one test
fsvm_pca
- 模糊支持向量机与主成分分析在人脸识别中的应用-Fuzzy Support Vector Machine with Principal Component Analysis Applied on Face Recognition
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- 基于小波分析和主成分分析的人脸识别研究.nh-Based on wavelet analysis and principal component analysis of face recognition research. Nh
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- 基于小波分析和主成分分析的人脸识别研究.nh-Based on wavelet analysis and principal component analysis of face recognition research. Nh
Matlab-pca-function
- Matlab中的主成分分析函数,对初学者比较适用-Matlab in principal component analysis function, more suitable for beginners
guizhou
- 利用主成分分析法对BP神经网络的输入参数进行降维,然后进行网络的训练,PCA-BP处理的结果同单一的bp相比,不仅提高了网络的收敛速度,而且提高了网络对预测数据分类的精度-Using principal component analysis method of BP neural network for dimensionality reduction of input parameters, and then training the
MATLAB
- 主成分分析的MATLAB程序代码,mni坐标转Talairach坐标的MATLAB程序代码-Principal component analysis of MATLAB code, mni coordinates to Talairach coordinates of the MATLAB code
kpca_azaaza
- 核主成分分析KPCA算法源码[matlab]-KPCA Kernel Principal Component Analysis algorithm source [matlab]
VC++
- 利用MFC实现多元统计分析中的因子分析与主成分分析-MFC realize the use of multivariate statistical analysis of the factor analysis and principal component analysis
aPCA_TEST
- 主成分分析,用于分析数据,将多维变量降维处理,使得方便特征提取,便于进一步特征提取。-脰 梅 鲁 脡 脰 脰脦枚 拢 卢 脫脙脫脷 脰脦枚脢媒 戮 脻 拢卢陆芦露 脿脦 卢 卤 盲脕 驴 陆 渭脦 卢
setupbasepack80_D6
- SDL Component suite for D6 SDL 组建是一套支持科学和工程计算的工业控件集,有10万行源码,50个例程. 3D 数据, 3D 数据,地图集,原子符号,β函数的情节的旋转,校验扫描的图像, CAS 登记号码,图表,颜色选择, 常量和兑换率,轮廓绘制,化学结构,化学数据,化学公式,X分配,群聚,转换程序,曲线适合, 地理数据,基体,图解,目录,配给,矩阵标签, eigenvectors, F-分布, FF
PCA
- 主成分分析方法(PCA),PCA算法的理论依据是K-L变换,通过一定的性能目标来寻找线性变换W,实现对高维数据的降维。-Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformatio
PCA
- 利用主成分分析理论对给定数字图片进行识别的程序代码,正确率90%以上。-Principal component analysis using the theory of a given number of picture identification code, the correct rate of 90.
RemoteSensingImageFusion
- HIS变换,主成分分析,Brovey算法实现图像融合。-HIS transform, principal component analysis, Brovey image fusion algorithm.