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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

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[ 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

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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

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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.

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. – 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

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Application of microcalorimetry and chemometric analysis

Effects evaluation of angle and nail animal drugs on Bacillus subtilis growth

Journal of Thermal Analysis and Calorimetry
Authors: Xiaoyan Xing, Yanling Zhao, Weijun Kong, Yanwei Zhong, Dan Yan, Ping Zhang, Yumei Han, Lei Jia, Cheng Jin, and Xiaohe Xiao

.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

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.: Communality of a variable: Formulation by cluster analysis. Psychometrika, 1957, 22 , 241–260. Tryon R. C. Communality of a variable: Formulation by cluster analysis

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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

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Journal of Behavioral Addictions
Authors: Silvia Ronzitti, Emiliano Soldini, Vittorio Lutri, Neil Smith, Massimo Clerici, and Henrietta Bowden-Jones

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

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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

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