Analytical techniques and software for the study of intragroup metric variation using principal component analysis
Intragroup variation in human cranial samples is much less well understood than intergroup variation. The aims of this study were to develop a flexible and assumption-free approach for detailed explorations and comparisons of intragroup metric variation in any number of samples and to create user-fr...
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| Format: | Article ou chapitre numérique |
| Langue: | Anglais |
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Bulletins et mémoires de la société d’anthropologie de Paris
2021
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openedition-oai:revues.org:bmsap_7539 https://doi.org/10.4000/bmsap.7539 urn:doi:10.4000/bmsap.7539 en https://journals.openedition.org/bmsap/7539 2021-05-04T02:00:00Z info:eu-repo/semantics/openAccess article info:eu-repo/semantics/article urn:handle:20.500.13089/db2z https://creativecommons.org/licenses/by-nc-nd/4.0/ Analytical techniques and software for the study of intragroup metric variation using principal component analysis Bulletins et mémoires de la société d’anthropologie de Paris Société d'Anthropologie de Paris info:eu-repo/semantics/reference/issn/1777-5469 info:eu-repo/semantics/reference/issn/0037-8984 URI:https://journals.openedition.org/bmsap Evteev, Andrej Alexeevich Staroverov, Nikolai Evgenievich Potrakhov, Nikolai Nikolaevich variation intragroupe analyse en composantes principales base de données Howells intragroup variation principal component analysis Howells data set Intragroup variation in human cranial samples is much less well understood than intergroup variation. The aims of this study were to develop a flexible and assumption-free approach for detailed explorations and comparisons of intragroup metric variation in any number of samples and to create user-friendly software for these purposes. We revisited the classic study design based on a comparison between the samples from Berg, Zalavar and Oslo from the W.W. Howells craniometric data set. Fourteen mid-facial dimensions were chosen for the analysis. "WorldPCA" software was employed for most of the analyses. This software implements a number of analytical functions aimed at exploring the results of principal component analysis. Our results confirm that the male sample from Berg displays a higher degree of variation. The cluster analyses have shown that intragroup variation in the three samples is mainly of a continuous nature. Arguably, the tendency to separate into distinct clusters is more pronounced in the samples from Oslo and Berg than from Zalavar. Some male individuals from Zalavar display distinct craniofacial features similar to those found in a South Siberian sample. Potential applications of these techniques and software are not restricted to cranial measurements but can be used for exploring any type of continuously varying data. No assumptions about the nature of the data should be made, and any number of samples can be compared simultaneously. La variation intragroupe dans les échantillons crâniens humains est beaucoup moins bien comprise que la variation intergroupe. Cette étude avait pour objectif de développer une approche flexible et sans hypothèse pour l’exploration détaillée et la comparaison de la variation métrique intragroupe dans n’importe quel nombre d’échantillons et de créer un logiciel convivial à ces fins. Nous avons revisité le plan d’étude classique basé sur la comparaison entre les échantillons de Berg, Zalavar et Oslo de l’ensemble de données craniométriques de W.W. Howells. Quatorze dimensions du milieu du visage ont été choisies pour l’analyse. Le logiciel "WorldPCA" a été utilisé pour la plupart des analyses. Le logiciel met en œuvre un certain nombre de fonctions analytiques visant à explorer les résultats de l’analyse en composantes principales. Nos résultats ont confirmé que l’échantillon masculin de Berg présente un niveau de variation accru. Les analyses de grappes ont montré que la variation intragroupe dans les trois échantillons est principalement de nature continue. Nous pouvons dire que la tendance à se séparer en groupes distincts est plus prononcée dans les échantillons d’Oslo et de Berg que de Zalavar. Certains individus masculins de Zalavar présentent des caractéristiques craniofaciales distinctes, similaires à celles trouvées dans un échantillon du sud de la Sibérie. Les applications potentielles de ces techniques et logiciels ne se limitent pas aux mesures crâniennes mais peuvent être utilisées pour explorer tout type de données à variation continue. Aucune hypothèse sur la nature des données ne doit être faite, et n’importe quel nombre d’échantillons peut être comparé simultanément. |
| collection |
OpenEdition Journal |
| language |
Anglais |
| format |
Article ou chapitre numérique |
| building |
0/Bibliothèque numérique/ 1/Bibliothèque numérique/OpenEdition Journals/ |
| topic |
variation intragroupe analyse en composantes principales base de données Howells intragroup variation principal component analysis Howells data set |
| spellingShingle |
variation intragroupe analyse en composantes principales base de données Howells intragroup variation principal component analysis Howells data set Evteev, Andrej Alexeevich Staroverov, Nikolai Evgenievich Potrakhov, Nikolai Nikolaevich Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| description |
Intragroup variation in human cranial samples is much less well understood than intergroup variation. The aims of this study were to develop a flexible and assumption-free approach for detailed explorations and comparisons of intragroup metric variation in any number of samples and to create user-friendly software for these purposes. We revisited the classic study design based on a comparison between the samples from Berg, Zalavar and Oslo from the W.W. Howells craniometric data set. Fourteen mid-facial dimensions were chosen for the analysis. "WorldPCA" software was employed for most of the analyses. This software implements a number of analytical functions aimed at exploring the results of principal component analysis. Our results confirm that the male sample from Berg displays a higher degree of variation. The cluster analyses have shown that intragroup variation in the three samples is mainly of a continuous nature. Arguably, the tendency to separate into distinct clusters is more pronounced in the samples from Oslo and Berg than from Zalavar. Some male individuals from Zalavar display distinct craniofacial features similar to those found in a South Siberian sample. Potential applications of these techniques and software are not restricted to cranial measurements but can be used for exploring any type of continuously varying data. No assumptions about the nature of the data should be made, and any number of samples can be compared simultaneously. |
| author |
Evteev, Andrej Alexeevich Staroverov, Nikolai Evgenievich Potrakhov, Nikolai Nikolaevich |
| author_facet |
Evteev, Andrej Alexeevich Staroverov, Nikolai Evgenievich Potrakhov, Nikolai Nikolaevich |
| author_sort |
Evteev, Andrej Alexeevich |
| title |
Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| title_short |
Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| title_full |
Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| title_fullStr |
Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| title_full_unstemmed |
Analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| title_sort |
analytical techniques and software for the study of intragroup metric variation using principal component analysis |
| publisher |
Bulletins et mémoires de la société d’anthropologie de Paris |
| publishDate |
2021 |
| container_title |
URI:https://journals.openedition.org/bmsap |
| url |
https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.4000/bmsap.7539 https://ezproxy.univ-orleans.fr/login?url=https://journals.openedition.org/bmsap/7539 |
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