Multivariate Mixture of Normals With Unknown Number of Components
An Application to Cluster Neolithic Ceramics From Aegean and Asia Minor Using Portable XRF
Datos Bibliográficos
| ID | 8352201 |
|---|---|
| Autores | I Papageorgiou (0000-0001-7761-1123, Athens University of Economics and Business, autor de correspondencia), I Liritzis (0000-0003-3079-1336, University of the Aegean) |
| Año | 2007 |
| Volumen | 49 |
| Número | 4 |
| Páginas | 795-813 |
| Fecha de publicación | 2007-11-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Archaeometry (JOURNAL) |
| Identificadores de la revista | ISSN: 0003-813X • E-ISSN: 1475-4754 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1475-4754.2007.00336.x |
| OpenAlex | W2076466447 |
| Idioma | EN |
| Citas recibidas | 13 |
| Referencias citadas | 30 |
Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas
Archaeological science · Archaeology · Chemometrics · Cluster analysis · Compositional data · Context (archaeology) · Curse of dimensionality · Data mining · Data set · Exploratory data analysis · Geochemistry · Geography · Hierarchical clustering · Machine learning · Mixture model · Multivariate statistics · Principal component analysis · Provenance · Statistics · Archaeology and ancient environmental studies · Artificial Intelligence · Computer Science · Geochemistry and Geologic Mapping · Geology · Image Processing and 3D Reconstruction · Mathematics
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| Obras citantes distintas | 13 |
|---|---|
| Citas por año | 0,68 |
| Intervalo de citas | 2007 - 2022 (16) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 13 |