interval-valued-data-analysis
Interval-Valued Principal Component Analysis and Anomaly Detection
https://github.com/catarinaploureiro/interval-valued-data-analysis
Science Score: 57.0%
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Interval-Valued Principal Component Analysis and Anomaly Detection
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README.md
Interval-valued Data Analysis
Interval-Valued Principal Component Analysis and Anomaly Detection
This repository holds code that implements the method proposed by Lin et al. (2022) (https://doi.org/10.1007/s11634-022-00527-1).
It also holds the code for the appplied work "Air Quality Data Analysis with Symbolic Principal Components" which was presented at the XXVI Congresso da Sociedade Portuguesa de Estatística (https://w3.math.uminho.pt/SPE2023/) and at the Symbolic Data Analysis Workshop 2023 (https://sda2018.wixsite.com/sda2023paris).
This work has now been published:
Loureiro, C.P., Oliveira, M.R., Brito, P., Oliveira, L. (2025). Air Quality Data Analysis with Symbolic Principal Components. In: Henriques-Rodrigues, L., Menezes, R., Machado, L.M., Faria, S., de Carvalho, M. (eds) New Frontiers in Statistics and Data Science. SPE 2021. Springer Proceedings in Mathematics & Statistics, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-68949-9_25
Code
setup.rcontains the implementation of several functions that compose the method.example.rcontains a simple example.air_quality.rcontains the application of the method on an air quality dataset.
Data
Files containing the air quality dataset obtained from a monitoring station in Entrecampos, Lisbon. Each file corresponds to 9 pollutants' concentration measures during the years 2019, 2020, and 2021. These files were retrieved from the Portuguese Environment Agency database available at https://qualar.apambiente.pt/.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "P. Loureiro" given-names: "Catarina" orcid: "https://orcid.org/0009-0001-9464-5824" title: "interval-valued-data-analysis" version: 1.0.0 date-released: 2023-12-28 url: "https://github.com/catarinapadrela/interval-valued-data-analysis"
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