This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common techn

matlab下编译的pca算法进行数据减维程序，适合初学者使用-Pca algorithm for data dimension reduction, suitable for beginners to use

是学习PCA特征提取的很好的学习资料，分形维数计算的毯子算法matlab代码,包括数据分析、绘图等等。- Is a good learning materials to learn PCA feature extraction, Fractal dimension calculation algorithm matlab code blankets, Data analysis, plotting, etc..

pca是主成分分析，提取特征，对数据进行降维处理(PCA is principal component analysis, which extracts features and processes the data in reduced dimension)

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)