Quantitative methods of standardization in cluster analysis: finding groups in data

Autor:	André Luiz Nogueira, Casimiro S. Munita
Rok vydání:	2020
Předmět:	Standardization Health Toxicology and Mutagenesis Public Health Environmental and Occupational Health 010403 inorganic & nuclear chemistry 01 natural sciences Pollution 0104 chemical sciences Analytical Chemistry Transformation (function) Nuclear Energy and Engineering Statistics Cluster (physics) Radiology Nuclear Medicine and imaging Internal validation Cluster analysis Spectroscopy Mathematics
Zdroj:	Journal of Radioanalytical and Nuclear Chemistry. 325:719-724
ISSN:	1588-2780 0236-5731
Popis:	The aim of this paper is to evaluate the impact of three standardization methods (z-score, log10 and improved min–max) in determining the number of clusters for a dataset of 146 archaeological ceramic fragments in which mass fractions of chemical elements were determined by INAA. The results showed a tendency towards clustering, which did not occur to the non-standardized data. The standardization methods indicated the presence of three groups within the database. Quality evaluation of these clusters, by means of internal validation indexes, showed that the best performance was obtained with the log10 transformation. This transformation also performed well in the calculation of compactness, while the improved min–max showed better performance in terms of separability.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::adfa57f389699431d0a8d4601c0e1dfe https://doi.org/10.1007/s10967-020-07186-6 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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