搜索资源列表
PCA
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础
pca
- matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础
PCA-MATLAB
- k-l和PCA算法在人脸识别中的具体实现(MATLAB)
PCA
- 用C8051F单片机的PCA模块的上升沿捕捉功能实现方波信号的频率检测-PCA Module C8051F MCU with the rising edge of the square wave signal capture function to achieve the frequency of detection
pca.rar
- 使用PCA进行数据预处理和数据压缩，用C++程序实现，所得主成分保存在文件中,PCA carried out using data pre-processing and data compression, and C++ Program, derived from the principal component in the document preservation
imageshow
- 用于图像处理的图形用户界面，可实现图像的翻转、加噪、边缘提取等功能。-For image processing graphical user interface, can be flipped images, noise, edge detection and other functions.
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
103244821wavelet-image-fusion
- 实现图像之间的数据融合，主要方法有基于HIS变换的，基于PCA变换的，基于加权变换的。-Between image data fusion, the main methods of transformation based on the HIS, based on the PCA transform, based on the weighted transform
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
STC.time
- STC单片机实现定时功能，教你如何使用STC单片机定时器，调试通过-STC MCU timing, teach you how to use the STC microcontroller timers, debugging through
PCACOV
- 在LabVIEW软件的基础上，通过求解协方差来实现PCA算法，-In the LabVIEW software, based on the covariance achieved by solving the PCA algorithm
pca
- 用vc++实现PCA影像融合。结果图像兼备高空间分辨率和高光谱信息。-PCA with vc++ achieve image fusion. The resulting image both high spatial resolution and high spectral information.
pca
- 这是一段利用matlab实现PCA分析的代码，即word说明-This is a realization of PCA analysis using matlab code that word descr iption
pca
- 主成分分析实现代码，以测试集辛烷值含量预测结果对比为例，内附数据，代码，matlab实现(Principal component analysis implementation code)
PCA
- 该程序可以实现数据的主成分提取，以及相关系数矩阵，得分矩阵，还有T^2统计量，可视化效果好。(The program can achieve the main component extraction of data, as well as correlation coefficient matrix, scoring matrix, as well as T^2 statistics, visual effect is good.)
PCA
- Python实现PCA将数据转化成前K个主成分的伪码大致如下: ''' 减去平均数计算协方差矩阵计算协方差矩阵的特征值和特征向量将特征值从大到小排序保留最大的K个特征(Python PCA data into pseudo code before the K principal components are as follows: the characteristics of 'average minus the covariance matrix to calculate the covari
PCA-ICA
- 实现了主元分析（PCA）和独立分量分析（ICA）相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
PCA实现特征降维
- pca和_fase_pca实现特征降维，两种算法都有所改进，特别是pca可以根据自己的需要进行相应的改进，代码清晰易懂，希望对你有帮助。(PCA and _fase_pca to achieve feature reduction, the two algorithms have improved, especially PCA can be improved according to their needs, the code is clear and easy to understand,
改过的pca在matlab中的实现
- 简单的pca算法在matlab中的实现。附带解释。(Implementation of a simple PCA algorithm in MATLAB.)
pca
- 应用于数据降维的一种MATLAB程序，可以实现从高维到低维的降解(A matlab program applied to data dimensionality reduction can realize the degradation from high dimension to low dimension)