Quantitative methods of standardization in cluster analysis
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2019
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INTERNATIONAL CONFERENCE ON MODERN TRENDS IN ACTIVATION ANALYSIS, 15th
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Resumo
The archaeological study of ceramics using multi-elemental analytical techniques such as instrumental neutron
activation analysis (INAA) is important in archaeology due to its potential to identify the raw materials used in their
manufacture,and subsequently help to infer the degree of interaction among ancient communities. Several multivariate
statistical methods are used in chemical composition data analysis, such as principal component analysis, cluster analysis
and discriminant analysis. Pattern recognition approaches are divided into unsupervised learning and supervised learning.
Cluster analysis is a technique for pattern recognition and is an unsupervised approach. When applying cluster analysis,
raw data, or actual measurements, are not used directly. Thus, a problem that arises during cluster analysis involves the
decision of whether or not to standardize the input variables before calculating measures of distance. The standardizationof
variables is necessary in cases where the measure of dissimilarity, such as the Euclidean distance, is sensitive to differences
in the magnitudes or scales of the input variables. The aim of this paper is to assess the impact, and evaluate the usefulness
of three standardization techniques in determining the number of clusters for a data set of 140 ceramic fragments from eight
archaeological sites from the upper Madeira river, Rondônia, Brazil, in which Na, K, La, Sm, Yb, Lu, Sc, Cr, Fe, Co, Zn, Rb, Cs,
Ce, Eu,Hf, Ta, and Th mass fractions were determined by INAA.
Como referenciar
NOGUEIRA, A.L.; MUNITA, C.S.; COSTA, A.F.; GOMES, D.M.C.; KIPNIS, R. Quantitative methods of standardization in cluster analysis: finding groups in data. In: ACHARYA, R. (ed.); SWAIN, K.K. (ed.); SATHYAPRIYA, R.S. (ed.); REDDY, A.V.R. (ed.); PUJARI, P.K. (ed.). In: INTERNATIONAL CONFERENCE ON MODERN TRENDS IN ACTIVATION ANALYSIS, 15th, November 17-22, 2019, Mumbai, India. Abstract... Mumbai, India: Bhabha Atomic Research Centre, 2019. p. 76-76. Disponível em: http://repositorio.ipen.br/handle/123456789/31026. Acesso em: 26 Apr 2024.
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