搜索资源列表
image_mva_0
- 一个利用Matlab实现PCA(主成分分析),k_means图像分割很好的例子。-using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.
PCA-SVM-master
- PCA/SVM算法实现图像分类,分类准确率可到达90%(Image classification by PCA/SVM algorithm)
machine-learning-ex7
- 吴恩达机器学习课程,第八周作业,详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
三色LED程序PCA
- 利用STC15单片机的PCA功能实现PWM的调节,从而控制三色LED的调光功能。(The PCA function of STC15 microcontroller is used to realize the adjustment of PWM, so as to control the dimming function of the three color LED.)
pca算法实现
- 通过Python实现了PCA数据降维的方法(The method of reducing the dimension of PCA data through Python)
pca-master (1)
- 此源代码使用Eigen C ++库在C ++中实现了PCA算法。 运行代码所需的组件: - 安装Visual Studio 2012(Express Edition工作正常) - Windows操作系统(Windows 7或更高版本) 如何运行源代码: - 打开文件。\ pca \ PrincipalComponentAnalysis \ PrincipalComponentAnalysis \ Program.cpp - 在行和列变量中设置矩阵的尺寸。 - 在m变量中设置
PCA
- 以一个实际例程为例,实现了PCA算法的全过程。附带有数据集。方便读者调试。可以直接运行。(Taking an actual routine as an example, the whole process of PCA algorithm is realized. Comes with a data set. Convenient reader debugging. Can run directly.)
FPGA_hslogic_face
- FPGA代做,通过matlab实现PCA人脸识别算法,并计算识别率(n the FPGA generation, the PCA face recognition algorithm is realized by MATLAB and the recognition rate is calculated.)
PCA based on Face Recognition
- 主要实现的是基于PCA的人脸识别算法 Matlab代码(PCA-based face recognition algorithm)
PCA+GUI人脸识别
- 基于PCA主成分分析算法和Yale人脸数据库,采用Matlab语言实现的人脸识别程序,整个程序分为预处理、训练、识别、GUI界面控制等几个模块,注释清晰,通俗易懂。(Based on PCA principal component analysis algorithm and Yale face database, the face recognition program is implemented in Matlab language. The whole program is divide
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
- 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.)
classification
- 实现PCA分类.1、进行PCA的交叉检验。2、对数据进行PCA降维。3、进行分类,交叉检验。4、构造训练和测试的数据(PCA classification,Cross validation of PCA,PCA dimensionality reduction for data.)
PCA程序
- 实现主成分分析 % Usage: % [eigvector, eigvalue] = PCA(data, options) % [eigvector, eigvalue] = PCA(data) % % Input: % data - Data matrix. Each row vector of fea is a data point. % % options.ReducedDim
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
- 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人脸识别GUIORL+Yale人脸库
- 该系统为基于MATLAB平台的PCA的人脸识别系统,可识别ORL和YALE人脸库,方法实现统一,包括GUI界面。另外可二次开发成摄像头的实时人脸系统,识别出库外人脸,可做成门禁系统,考勤系统,打卡签到系统。实现登记出勤,报警等。 含论文,详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The metho
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)
降维code
- 了解降维、特征筛选等基本原理 掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection Master the algorithm implementation and application of PCA, SVD, lad and NMF)
PCA+mnist
- 基于python,利用主成分分析(PCA)和K近邻算法(KNN)在MNIST手写数据集上进行了分类。 经过PCA降维,最终的KNN在100维的特征空间实现了超过97%的分类精度。(Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set. After PCA dime