PCA:主相关分析
“主相关分析”是一种广泛应用于多学科领域的统计方法,其英文全称为“Primary Correlation Analysis”。为便于书写与使用,通常将其缩写为PCA。该方法常用于探索变量之间的相关性,尤其是在综合性、未明确分类的数据研究中,能有效帮助研究者识别关键变量间的关系,简化分析流程。
Primary Correlation Analysis具体释义
Primary Correlation Analysis的英文发音
例句
- The mining of weighted association rules is a primary method used in alarm correlation analysis.
- 加权关联规则挖掘是告警相关性分析的重要手段。
- The experimental results show that proposed method is efficient. A method of primary feature selecting based on multisensor correlation analysis is proposed.
- 实验表明提出的方法是有效的。提出了基于多传感器相关分析的主特征选择方法。
- It also indicated that establishment of primary fingerprint database mentioned in the article was only an initialized construction based on existent database software where the correlation analysis, prediction of results, data acknowledged, validated and data transplantation should be strengthen in the further study.
- 同时指出初级指纹图谱库的建立仅利用了现有软件进行的数据库初步构建,在数据间相关分析以及数据结果预测等方面没有进行研究,另外数据库数据的公认、验证和数据移植尚需进一步加强。
- This paper selected some data about China's primary security market, and adopted some basic methods to take an empirical analysis on the supply and demand of IPOs, such as correlation analysis, linear-regression analysis, and equilibrium analysis.
- 本文从中国证券一级市场选取了部分新股发行数据,用相关分析、线性回归和均衡分析等基本方法,对新股发行的供给与需求进行实证研究。
- The primary coverage is : 1.According to this project demand to carry on the investigation and study, to the correlation data which collects, carries on the feasibility analysis and research.
- 主要工作内容为:1、根据该项目需求进行调研,对搜集到的相关资料进行可行性分析和研究。
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