Using Gaussian mixture model clustering to explore morphology and standardized production of ceramic vessels: A case study of pottery from Late Bronze Age Greece

Kvapil, Lynne A.; Kimpel, Mark W.; Jayasekare, Rasitha R.; Shelton, Kim

doi:10.1016/j.jasrep.2022.103543

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…While use of these types of resources may indicate greater subsistence stress, the upper-most deposit samples also contain higher proportions of cattle remains and limb parts of caprines and pigs—more marketable meaty animal resources that were more likely to have been accounted for by palatial authorities. Together, the mixed dietary picture from this part of the deposit fits expectations for access to some supplementary indirect animal resources provisioned through supply and redistribution either from the palace or through organized exchanges among craft and food producers [ 69 , 82 ].…”

Section: Discussionmentioning

confidence: 89%

“Well” off in animals: A taphonomic history of faunal resources and refuse from a well feature at Petsas House, Mycenae (Greece)

Meier

Price²,

Shelton³

2023

PLoS ONE

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At the renowned archaeological site of Mycenae, striking depictions of animals in ancient art and architecture, such as the ‘Lion Gate’, reflect the great power of elite residents in the Late Bronze Age. To better understand how social complexity relates to human-animal interactions at Mycenae, more research is needed on the animals who actually lived there. In a first for the archaeological site of Mycenae, we utilized a contextual taphonomic approach and statistical analysis to study a faunal assemblage, focusing on a massive deposit recovered from a well feature located in Room Π of Petsas House. Petsas House was an industrial-residential complex at Mycenae used at least in part by ceramic artisans at the time of its destruction in the Late Helladic IIIA2 period. Intra-contextual analysis of the animal remains detected sub-assemblages with variable histories of animal use and deposition. The results revealed multiple disposal events and possible dog interments. Most of the refuse in the well likely originated from rubbish piles in the surrounding rooms and periphery that were cleaned after a destructive earthquake. Together, the faunal evidence yielded a more nuanced, possibly seasonal picture of animal access than previously available at this important political center. The results provide new insights into the diverse and resilient resource provisioning strategies available to extra-palatial residents of Mycenae, especially those who participated in craft production and trade networks at the height of the palatial period.

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Section: Discussionmentioning

confidence: 89%

“Well” off in animals: A taphonomic history of faunal resources and refuse from a well feature at Petsas House, Mycenae (Greece)

Meier

Price²,

Shelton³

2023

PLoS ONE

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“…In other words, we sought to find a technique that would allow for the autonomous, unsupervised identification of pigment groups, taking into account the values of the 6-band matrix. Gaussian Mixture Models (GMM) techniques is an unsupervised classification procedure that have been successfully used in archaeological analysis [41,42], thanks to the probabilistic outcomes and the accountability for robust testing. GMM is a statistical technique for modeling a dataset as a combination of several Gaussian distributions.…”

Section: Classification Through Variational Bayesian Gaussian Mixture...mentioning

confidence: 99%

Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)

Cerrillo-Cuenca,

Sepúlveda,

Cabello

et al. 2024

Herit Sci

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The article explores advanced image processing techniques for pigment discrimination in rock art paintings, emphasizing color separation using RGB (red, green, blue) and LHCUv (Luminance, Hue, Chroma) imagery. It highlights the use of dimensionality reduction methods such as Principal Components Analisys PCA and Independent Component Analysis (ICA), with a focus on Gaussian Mixture Models (GMM) for probabilistic classification of image elements. This approach, applied to the Chomache archaeological site on the northernmost coast of the Atacama Desert in Chile, reveals previously undetected motifs and details, offering a nuanced perspective in rock art documentation and analysis. This proposal reinforces the value of rock art panel not only as a finished product but as a process.

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“…These clustering algorithms include distance-based methods such as KM [20] and MBKM [21], density-based techniques such as Density-Based Spatial Clustering of Applications with Noise (DBSCAN) [22] and Ordering Points to Identify the Clustering Structure (OPTICS) [23], and hierarchical methods such as Agglomerative Hierarchical Clustering (AHC) [24] and Balanced Iterative Reducing and Clustering using Hierarchies (BRICH) [25]. Additionally, model-based Gaussian Mixture Models (GMM) algorithms [26], [27], kernel-based Mean Shift (MS) [28], and SC [29] are evaluated.…”

Section: Affinity Propagation Clustering Modelmentioning

confidence: 99%

Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation

Ez Eddin,

Massaoudi,

Abu-Rub

et al. 2024

IEEE Trans. Power Syst.

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Using Gaussian mixture model clustering to explore morphology and standardized production of ceramic vessels: A case study of pottery from Late Bronze Age Greece

Cited by 8 publications

References 29 publications

“Well” off in animals: A taphonomic history of faunal resources and refuse from a well feature at Petsas House, Mycenae (Greece)

“Well” off in animals: A taphonomic history of faunal resources and refuse from a well feature at Petsas House, Mycenae (Greece)

Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)

Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation

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