2019
DOI: 10.1016/j.jasrep.2019.101965
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Statistical metric and shape analysis of the alquería towers in the Nasrid period (Granada, Andalusia)

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Cited by 3 publications
(2 citation statements)
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“…Si exceptuamos los trabajos más puramente ligados a su estudio histórico o arqueológico basados en las fuentes documentales o campañas específicas sobre el terreno, las metodologías científicas aplicadas al análisis de torres del reino nazarí de Granada están vinculadas habitualmente a su catalogación e inventariado (Martín García, Bleda Portero & Martín Civantos, 1999), estudios morfológicos (Esquivel, Mustafa & Esquivel, 2019) o de períodos y técnicas constructivas (Malpica Cuello, 2001).…”
Section: Metodología Aplicadaunclassified
“…Si exceptuamos los trabajos más puramente ligados a su estudio histórico o arqueológico basados en las fuentes documentales o campañas específicas sobre el terreno, las metodologías científicas aplicadas al análisis de torres del reino nazarí de Granada están vinculadas habitualmente a su catalogación e inventariado (Martín García, Bleda Portero & Martín Civantos, 1999), estudios morfológicos (Esquivel, Mustafa & Esquivel, 2019) o de períodos y técnicas constructivas (Malpica Cuello, 2001).…”
Section: Metodología Aplicadaunclassified
“…This method consists of a set of geometrical and statistical algorithms focused on generating a typology of multivariate objects that allows to obtain the structure of data classified into groups of objects with the members in each group being as similar as possible to each other and the members of different groups as dissimilar as possible to each other. From a statistical point of view, the classification can be formulated as a problem of optimization with multiple objectives in which a configuration of appropriate parameters must be chosen including the distance function to be used, the clustering algorithm, the number of clusters, and so on (Esquivel et al, 2019). There are diverse cluster models and different agglomeration algorithms.…”
Section: Statistical Preliminary Aspectmentioning
confidence: 99%