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27 857 874 Gower, J.C. and G.J.S. Ross. 1969. Minimum spanning trees and single linkage cluster analysis. Appl. Stat. 18: 54
[ 41 , 42 ]. Capone et al. applied multivariate statistical methods (PCA and hierarchical cluster analysis [HCA]) to find key features involving molecules, descriptors, and anticancer activity [ 43 ]. Mehl et al. used hyperspectral image analysis (HIS
which students consider the predictions of human capital theory. Additionally, we create groups from students by cluster analysis based on the examined 10 motivations. The analysis of motives is followed by an investigation of students' capital
Abstract
The use of the cluster analysis in scientometrics is dealt with. The ways of developing citation networks and mapping research field with the help of this method are also presented. The methodology of computer-aided cluster analysis of citation is described, which allows to map the structure of a research field and to identify main tendencies of its development.
. – Rousseeuw , P. J. ( 2005 ): Finding Groups in Data: An Introduction to Cluster Analysis . New Jersey, NJ : John Wiley & Sons . Kelemen , Z. – Nagy , P. – Kemény , I. ( 2016
Application of microcalorimetry and chemometric analysis
Effects evaluation of angle and nail animal drugs on Bacillus subtilis growth
.0 (SAS, USA). Hierarchical clustering analysis (HCA) The HCA is a chemometric method that is used to sort samples into groups and typically illustrated by a dendrogram [ 17 – 19 ]. This technique classifies
.: Communality of a variable: Formulation by cluster analysis. Psychometrika, 1957, 22 , 241–260. Tryon R. C. Communality of a variable: Formulation by cluster analysis
Hierarchical Clustering Analysis (HCA), Principal Component Analysis (PCA), and Partial Least Square Discriminate Analysis (PLS-DA), were conducted to screen the characteristic components as chemical indicators for assessing the quality of fermented trifoliate
at a bivariate level. The Mann–Whitney test has been used to account for potential non-normality of the continuous variables. Second, we conducted a cluster analysis: such analysis allows to partition the sample of patients in different subgroups
and Dornyei ( 2002 ) examined the language-learning attitude and motivation of Hungarian primary school students using cluster analysis. Nikolov ( 2003 ) investigated the language-learning motivation and attitude of primary and secondary schools
