運(yùn)用主成分聚類分析法評(píng)估醫(yī)院科室科研績(jī)效
發(fā)布時(shí)間:2018-11-13 11:06
【摘要】:正主成分聚類分析法是將主成分分析與聚類分析有機(jī)結(jié)合的一種新方法,該方法克服了眾多指標(biāo)之間的共線性,提取出能夠代表大部分信息的綜合指標(biāo),利用綜合得分聚類后,能夠合理準(zhǔn)確地突出各個(gè)類別的能
[Abstract]:Positive principal component clustering analysis is a new method which combines principal component analysis with cluster analysis. This method overcomes the collinearity among many indexes and extracts the comprehensive index which can represent most of the information. Be able to reasonably and accurately highlight each category of energy
【作者單位】: 北京中醫(yī)藥大學(xué);中日友好醫(yī)院;
【分類號(hào)】:R197.323
[Abstract]:Positive principal component clustering analysis is a new method which combines principal component analysis with cluster analysis. This method overcomes the collinearity among many indexes and extracts the comprehensive index which can represent most of the information. Be able to reasonably and accurately highlight each category of energy
【作者單位】: 北京中醫(yī)藥大學(xué);中日友好醫(yī)院;
【分類號(hào)】:R197.323
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