The application of principal component analysis on the regional consumption levels;

The application of principal component analysis to teaching appraise;

Seven principal components were gotten from the conclusion that the testing items were analyzed with principal component analysis.

SAS and SPSS software were commonly used in foretime,this paper give the application of Matlab software in multivariate statistical analysis,mostly introduce the application of Matlab Software in principle component analysis and cluster analysis and differentiate analysis.

This article extracts four factors and summarizes nine specific indications, and apply "principle component analysis" to build a rudimental.

Aiming at the problem that dataset is of high dimensions,principal components analysis is used in anomaly detection to reduce the dimensions of dataset.

The results of principal components analysis reveals that the first three principal components comprise 91.

This paper used the principal components analysis method of multivariate statistical analysis theory and the cluster analysis to study the states of science and technology development of anhui province.

Principal component analysis(PCA) is a technique used to reduce the complication of data .

In order to resolve the problems of discrete wavelet neural network (DWNN), such as much nods, lack of robustness, anextended wavelet neural network (EWNN), which has small scale of nods and high quality of anti-interference, is designed on the basisof theory of principal component analysis (PCA), and its structure is optimized through sanger algorithm.

in one area,the paper uses the attribute reducing technique of PCA(principal component analysis)to prepare the data,and then uses Decision Tree to classify the data,as a result,the new user s arrear type can be predicted.