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A METHOD FOR GROUPING POTTERY BY CHEMICAL COMPOSITION
Author(s) -
MOMMSEN H.,
KREUSER A.,
WEBER J.
Publication year - 1988
Publication title -
archaeometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.716
H-Index - 67
eISSN - 1475-4754
pISSN - 0003-813X
DOI - 10.1111/j.1475-4754.1988.tb00434.x
Subject(s) - similarity (geometry) , dendrogram , measure (data warehouse) , transformation (genetics) , compositional data , mathematics , similarity measure , multivariate statistics , statistics , goodness of fit , dilution , euclidean distance , computer science , artificial intelligence , data mining , chemistry , geometry , physics , thermodynamics , sociology , gene , genetic diversity , image (mathematics) , population , biochemistry , demography
A new similarity measure is proposed, the ‘dilution factor spread’ or, derived from it, a ‘goodness of fit’ parameter. This has the advantage that raw data without any transformation can be used, diluted samples are recognized and errors of individual concentration values can easily be included. The use of this similarity coefficient in multivariate cluster analyses to construct dendrograms is shown and compared with the use of the well‐known similarity measure of Euclidian distance in attribute space and of the cos θ measure.