Authors:J. Castro-Calvo, M. D. Gil-Llario, C. Giménez-García, B. Gil-Juliá, and R. Ballester-Arnal
assessing more than one CSBD symptom or not clearly assessing any symptom were excluded from the new composite index. Based on this composite index, we subsequently identified individuals with CSBD through a cluster analytic approach. Clusteranalysis lets
International competitiveness is influenced by globalization processes in the world economy. This process changes the comparative advantages of each country and thus the shares of individual countries in world trade. BRICS countries have quickly strengthened their influence in international trade, and thus the European Union must face new pressure in competitiveness from their side. The aim of this paper is to define key factors of foreign trade competitiveness by an application of factor analysis and identify countries with similar characteristics of competitiveness factors by an application of cluster analysis. Factor and cluster analysis contain indicators of foreign trade which describe the driving forces of competitiveness, also in terms of long-term potentiality, and those which are direct or indirect outcomes of a competitive society and economy. Based on the results of the factor analysis, it is possible to classify the evaluated territories according to the level of foreign trade advancement by cluster analysis.
Authors:Yun Sun, Jiajia Liu, Bayertai, Shasha Tang, and Xiaoying Zhou
used to determine the contents of gallic acid and ellagic acid in the antioxidant-active parts of E. angustifolia L. leaves at different dates and from different origins in Xinjiang. In this work, R software hierarchical clusteringanalysis method was
Authors:Lucien Rochat, Francesco Bianchi-Demicheli, Elias Aboujaoude, and Yasser Khazaal
use, attachment style, sexual desire, and self-esteem – whether subgroups of Tinder users can be identified through clusteranalysis. Compared to more traditional linear models such as regression, clusteranalysis emphasizes the diversity among
worthwhile to render. In this context, by employing a clusteringanalysis with the Gaussian mixture model (GMM), we suggest an empirical framework to classify research collaboration activities with developed indicators that carry on the concept of previous
Possible applications of cluster analysis of bibliographic references as a scientometric method are studied. It is shown that cluster analysis made by means of bibliographic coupling byKessler and co-citation byMarshakova-Small present comparable results. Science maps on immunological topics are made. Particularly for historico-scientific studies it is useful to make clusters in rectangular coordinates taking into account the value of citing the document and the year of its publication. It is observed that at the junction points of sciences there is an almost twofold deceleration of the processes of application and spreading of knowledge. It is stated that the problem of information explosion does not exist on the level of new ideas, the number of which is less than 0.1% of the total volume of the published information flow 40% of which is formed by information noise.
We investigated how cluster analysis and diversity-ordering can be used for the classification of geographically and historically distinct plant and insect communities. The study sites include fens and Brachypodium pinnatum dominated grasslands. The stands of the fen vegetation type could be arranged into similar groups by cluster analysis, principal component analysis and diversity ordering techniques. In the case of the B. pinnatum dominated grasslands of diverse development, however, no groups could be differentiated on the basis of either diversity ordering or ordination. Of the various cluster analyses, the result of global optimisation was similar to those of PCA ordination and diversity ordering techniques.
Objective This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject
by comparing the results from co-citation clustering analysis with a review written by authorities.
Methods Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource
articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited
papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line
visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and
the review were compared according the time period, and then the recall and the precision were calculated.
Results The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed
by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than
which was summarized by professionals.
Conclusion This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject,
especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could
be offset by combination this method with other analytic techniques.