搜索资源列表
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
- 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)
PCA
- 对高维图像进行PCA和KNN分类器处理转换为低维图像(use PCA and KNN for high dimensional image)
pca
- 大数据降维方法,具体的处理了图像等,包括数据的冗余部分,利用PCA技术快速降维。(Large data dimensionality reduction method.Specifically dealing with images, including redundant parts of data, and using PCA technology to reduce dimensionality rapidly.)
pca
- PCA算法可在MATLAB中配合人脸数据库实现人脸识别(PCA algorithm can be used to realize face recognition algorithm.)
PCA
- 最详细的PCA源码,有助于零基础理解PCA的详细过程(The most detailed PCA source code)
PCA+SVM
- 用于人脸识别,包含了PCA及SVM算法,数据集采用的ORL数据库(face recognition(PCA+SVM))
PCA+SVM
- 采用经典的ORL人脸数据集,利用PCA进行进行降维,然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
PCA
- PCA_进行indian_pines数据集合分类。((use PCA to classify the indian_pines data with train and test data in the rar))
PCA
- 使用matlab自带的函数princomp()计算主成分,当维数很高时通常会出现内存耗尽的错误,即使内存足够也非常耗时。快速pca能加快计算进程且减小内存占用,更容易计算较大尺寸的图像主成分。(Use MATLAB's own function princomp () to calculate the principal component. When the dimension is very high, the memory exh
pca-人脸识别
- 运用PCA算法,可以通过摄像头实时获取人脸,进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
STC12C5A60S2-PCA-同步触发可控硅
- STC12C5A60S使用PCA出发可控硅程序(STC12C5A60S uses PCA to start a silicon controlled program)
pca
- 红外光谱,预处理,PCA,SIMCA,溯源(Traceability of infrared spectrum)
IAMGE-change-PCA
- 图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)
PCA&SVD_Denoising
- 使用PCA和SVD进行数据去噪,利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)
基于PCA算法的TE过程故障诊断程序
- 基于PCA的TE过程故障诊断MATLAB代码,亲测有效,欢迎下载。(PCA based TE process fault diagnosis MATLAB code, pro test is effective, welcome to download.)
多光谱影像PCA与遍历显示matlab实现
- 基于多光谱影像的地物分类预处理算法,使用matlab将数据tif影像打开,并展示,在数据波段中,使用PCA算法,使得信息集中利于分类。(Preprocessing algorithm of object classification based on multi spectral image)
PCA+SVM
- 先用PCA降维,在利用支持向量机进行分类,这个分类是二分类,所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality red
PCA
- 实现图片处理的传统pca降维,需要自己改文件路径(To reduce the dimension of traditional PCA in image processing, we need to change the file path by ourselves)
PCA故障检测
- 使用PCA 进行故障检测,内含数据可以测试(Use PCA for fault detection, including data can be tested)