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1)  Principal component analysis
主成份分析法
2)  principle component analysis
主成份分析法
1.
Referring to the principle component analysis,the model successfully combines the composite time variables and the other effect factor variables,then establishes a new combined forecasting model of trend extrapolation and multiple regression analysis.
将趋势外推法拟合的结果作为多元回归分析法的复合时间变量组,并利用主成份分析法实现了复合时间变量组与其他影响因素变量的有机结合,建立了趋势外推法和多元回归分析法的组合预测模型。
3)  principal component analysis
主成份分析
1.
The application of principal component analysis on the regional consumption levels;
主成份分析在地区综合消费水平评析中的应用
2.
The application of principal component analysis to teaching appraise;
主成份分析在教学评估中的实证应用
3.
Seven principal components were gotten from the conclusion that the testing items were analyzed with principal component analysis.
文章用FAST仪对国内外轻薄型面料的加工性能进行了测试和主成份分析,结果表明,国内外轻薄型面料加工性能评价可用7个独立主成份来评价,第1主成份为可成形性,其它依次为湿膨胀主成份、厚重主成份、松弛回缩率主成份、经向弹性主成份、悬垂性主成份、剪切刚度主成份。
4)  Principle component analysis
主成份分析
1.
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.
过去一般采用SAS、SPSS软件分析,本文给出Matlab软件在多元统计分析上的应用,主要介绍Matlab在主成份分析、聚类分析、判别分析上的应用。
2.
This article extracts four factors and summarizes nine specific indications, and apply "principle component analysis" to build a rudimental.
这里抽象出我国上市公司资本结构形成的四个因素,概括出九个具体的指标,运用主成份分析建立了我国上市公司资本结构评价模型的一个雏形,并给出了一个大概的最佳的资本结构区间。
5)  Principal components analysis
主成份分析
1.
Aiming at the problem that dataset is of high dimensions,principal components analysis is used in anomaly detection to reduce the dimensions of dataset.
针对数据对象是高维数据的问题,将主成份分析方法应用到异常检测中解决数据集的降维问题。
2.
The results of principal components analysis reveals that the first three principal components comprise 91.
主成份分析表明前三主成份可保留总信息量的91 。
3.
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.
本文应用主成份分析法和聚类方法,对安徽省各地市企业科技开发状况进行了分析。
6)  Principal Component Analysis(PCA)
主成份分析
补充资料:容量分析法(见化学分析法)


容量分析法(见化学分析法)


容t分析法见化学分析法
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