摘要
为避免在多指标综合评判方法中人为因素带来的偏差,文章结合主成分分析法对原始实验数据进行分析.通过阐述主成分分析的基本原理以及其实现过程,结合统计学软件SPSS 20.0,对主成分分析的操作过程进行论述.以长焰煤自燃标志性气体为例进行分析,当累计贡献率达到95.852%时,提取出两个主成分.结合数据以及现场实践分析,主成分分析法可以简化各因子数据之间繁琐的问题.
To avoid multi-index comprehensive evaluation method in human factor error caused by the article and principal component analysis of the raw experimental data analysis. The basic principles set forth by principal component analysis and its implementation process, combined with statistical software SPSS 20.0, during the operation of the principal component analysis are discussed. In long-flame coal spontaneous combustion analysis example, when the cumulative contribution rate of 95.852%, extracted two principal components. Binding data and on-site practice analysis, principal component analysis can simplify complicated issues between the various factor data.
出处
《应用泛函分析学报》
2017年第4期452-456,共5页
Acta Analysis Functionalis Applicata
基金
国家自然科学基金(51174109)
关键词
主成分分析
SPSS
20.0
煤自燃
标志性气体
principal component analysis
SPSS 20.0
coal spontaneous combustion
iconic gas
