Dimensionality reduction for data visualization and exploratory analysis of ceramic assemblages
- Title
- Dimensionality reduction for data visualization and exploratory analysis of ceramic assemblages
- Date
- 2022
- Is Part Of
-
Archeologia e Calcolatori
- Volume
- 33
- Issue
- 2
- Pages
- 33-52
- Language
- eng
- Rights
- CC BY-NC-ND 4.0
- Abstract
- Size reduction algorithms are essential in the study of multivariate datasets. Many variables make it difficult to visualize data. In Archaeology, this problem often concerns the study of some variables, which can be quantitative or qualitative. In this article, several methods for dimension reduction are applied to a pottery dataset from the protohistoric necropolis Osteria dell’Osa, located 20 km East of Rome. These methods offer the possibility of visualising and analysing large amount of data in a very short time. Our results show that non-linear and non-parametric algorithms such as t-SNE and UMAP are the best choice for visualising and exploring this type of data.
- Cites
- Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
- Nonlinear Dimensionality Reduction by Locally Linear Embedding
- Time as a Hidden Dimension in Archaeological Information Systems: Spatial Analysis Within and Without the Geographic Framework
- Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study
- A New Basis for Sparse Principal Component Analysis
- A Guide for Sparse PCA: Model Comparison and Applications
- The Use of Multiple Measurements in Taxonomic Problems
- Analysis of a complex of statistical variables into principal components
- Large Scale Geochemical Signatures Enable to Determine Landscape Use in the Deserted Medieval Villages
- An Introduction to Statistical Learning
- Multidimensional Scaling
- Assessing single-cell transcriptomic variability through density-preserving data visualization
- Learning feature representation of Iberian ceramics with automatic classification models
- Multidimensional Scaling of Northwest Coast Faunal Assemblages: A Case Study from Southern Haida Gwaii, British Columbia
- LIII. On lines and planes of closest fit to systems of points in space
- Incremental Learning for Robust Visual Tracking
- A Survey on Multidimensional Scaling
- Can Lithic Attribute Analyses Identify Discrete Reduction Trajectories? A Quantitative Study Using Refitted Lithic Sets
- Craniofacial similarity analysis through sparse principal component analysis
- A Global Geometric Framework for Nonlinear Dimensionality Reduction
- Evaluating prepared core assemblages with three-dimensional methods: a case study from the Middle Paleolithic at Skhūl (Israel)
- Landscape Classification using Principal Component Analysis and Fuzzy Classification: Archaeological Sites and their Natural Surroundings in Central Mongolia
- Understanding standardization and variation in Mediterranean ceramics
- Principal Component Analysis
- Machine Learning in Action
- La necropoli laziale di Osteria dell'Osa
- Statistics for Archaeologists: A Commonsense Approach
- Visualizing data using t-SNE
- Exploratory data analysis
- Quantifying archaeology
- The Reliability and Validity of a Lithic Debitage Typology: Implications for Archaeological Interpretation
- An analytical strategy based on Fourier transform infrared spectroscopy, principal component analysis and linear discriminant analysis to suggest the botanical origin of resins from Bursera. Application to archaeological Aztec Samples
- Introduzione alla protostoria italiana
- Non-Euclidean Distances in Point Pattern Analysis: Anisotropic Measures for the Study of Settlement Networks in Heterogeneous Regions
- Principal component analysis in archaeometry
- Specialization, standardization and diversity: A retrospective
- Quantitative Analysis in Archaeology
- Python Data Science Handbook: Essential Tools for Working with Data
- Sparse Principal Component Analysis
- Characterization of Iron age pottery from eastern Turkey by laser- induced breakdown spectroscopy (LIBS)
- Review of Dimension Reduction Methods
- Archaeometric characterisation of ancient pottery belonging to the archaeological site of Novalesa Abbey (Piedmont, Italy) by ICP-MS and spectroscopic techniques coupled to multivariate statistical tools
- Full three-dimensional imaging via ground penetrating radar: assessment in controlled conditions and on field for archaeological prospecting
- Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-Based Approach
- Identifying Ancient Ceramics Using Laser-Induced Breakdown Spectroscopy Combined with a Back Propagation Neural Network
- Encyclopedia of Machine Learning
- A Tutorial on Principal Component Analysis
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