2009
DOI: 10.1016/j.jas.2009.07.004
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Differentiation of ceramic chemical element composition and vessel morphology at a pottery production center in Roman Galilee

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Cited by 21 publications
(8 citation statements)
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“…In the next section we discuss the essential question in any classification algorithm, namely e the definition of "similarity" or "distance" between profiles. Here we follow our previous publications (Adan-Bayewitz et al, 2009;Gilboa et al, 2004;Karasik et al, 2005;Saragusti et al, 2005). We briefly review it here so as to make this paper self contained, and to introduce the main concepts and notations.…”
Section: Introductionmentioning
confidence: 60%
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“…In the next section we discuss the essential question in any classification algorithm, namely e the definition of "similarity" or "distance" between profiles. Here we follow our previous publications (Adan-Bayewitz et al, 2009;Gilboa et al, 2004;Karasik et al, 2005;Saragusti et al, 2005). We briefly review it here so as to make this paper self contained, and to introduce the main concepts and notations.…”
Section: Introductionmentioning
confidence: 60%
“…There are several ways to describe the profile as a function of s. As in previous publications (Adan-Bayewitz et al, 2009;Saragusti et al, 2005), we use three different mathematical representations to describe the morphology of the curves: the radius RðsÞ, the tangent qðsÞ and the curvature kðsÞ. Mathematically speaking, each of the three representations of the profile stores the entire morphological information of the curve (but for shifts).…”
Section: Mathematical Representation Of the Profilesmentioning
confidence: 99%
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“…It was tested in several cases and proved to be archaeologically meaningful and relevant (Gilboa et al 2004;Karasik et al 2005;Smilansky 2008, 2011;Adan-Bayewitz et al 2009;Karasik 2010). The classification method was published recently and its full description and formulas and details can be found in this publication (Karasik and Smilansky 2011).…”
Section: The Piqd's Theoretical Approach To Automatic Classification mentioning
confidence: 99%