Principal component analysis in horticultural research.
TK Broschat - 1979 - cabidigitallibrary.org
Principal component analysis is a technique which reduces the dimensionality of
multivariate data by removing intercorrelations among variables. To illustrate its application …
multivariate data by removing intercorrelations among variables. To illustrate its application …
[引用][C] Principal component analysis in horticultural research [Includes applications in taxonomy].
TK Broschat - HortScience, 1979 - agris.fao.org
Principal component analysis in horticultural research [Includes applications in taxonomy]. Food
and Agriculture Organization of the United Nations Discover About FAO News Multimedia Main …
and Agriculture Organization of the United Nations Discover About FAO News Multimedia Main …
[引用][C] Principal Component Analysis in Horticultural Research1
TK Broschat - HortScience, 1979 - journals.ashs.org
Principal component analysis, a technique which reduces the dimensionality of multivariate
data by removing intercorrelations among variables, has a number of potentially useful …
data by removing intercorrelations among variables, has a number of potentially useful …