Ordinalysis: Interpretability of multidimensional ordinal data
Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial. Applications of the software are shown on an ordinal synthetic dataset, ordinal real feature spaces an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023000390 |
| _version_ | 1797818650700283904 |
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| author | Mouad Zine-El-Abidine Helin Dutagaci David Rousseau |
| author_facet | Mouad Zine-El-Abidine Helin Dutagaci David Rousseau |
| author_sort | Mouad Zine-El-Abidine |
| collection | DOAJ |
| description | Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial. Applications of the software are shown on an ordinal synthetic dataset, ordinal real feature spaces and an ordinal image dataset. Ordinalysis allows the detection of violations of ordinality, the selection of the dimension reduction to preserve ordinality best or the demonstration of existing semantic ordinality in a set of raw data. |
| first_indexed | 2024-03-13T09:11:04Z |
| format | Article |
| id | doaj.art-8495c94d1bda4f3caa620432f0e5ed77 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-13T09:11:04Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-8495c94d1bda4f3caa620432f0e5ed772023-05-27T04:25:46ZengElsevierSoftwareX2352-71102023-05-0122101343Ordinalysis: Interpretability of multidimensional ordinal dataMouad Zine-El-Abidine0Helin Dutagaci1David Rousseau2Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d’Angers, FranceEskisehir Osmangazi University, Department of Electrical-Electronics Engineering, Eskisehir, TurkeyLaboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d’Angers, France; INRAe, UMR1345 Institut de Recherche en Horticulture et Semences, Angers, France; Corresponding author at: Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), Université d’Angers, France.Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial. Applications of the software are shown on an ordinal synthetic dataset, ordinal real feature spaces and an ordinal image dataset. Ordinalysis allows the detection of violations of ordinality, the selection of the dimension reduction to preserve ordinality best or the demonstration of existing semantic ordinality in a set of raw data.http://www.sciencedirect.com/science/article/pii/S2352711023000390Ordinal dataPre-model interpretabilityDimension reductionFeature spaceOrdinal metrics |
| spellingShingle | Mouad Zine-El-Abidine Helin Dutagaci David Rousseau Ordinalysis: Interpretability of multidimensional ordinal data SoftwareX Ordinal data Pre-model interpretability Dimension reduction Feature space Ordinal metrics |
| title | Ordinalysis: Interpretability of multidimensional ordinal data |
| title_full | Ordinalysis: Interpretability of multidimensional ordinal data |
| title_fullStr | Ordinalysis: Interpretability of multidimensional ordinal data |
| title_full_unstemmed | Ordinalysis: Interpretability of multidimensional ordinal data |
| title_short | Ordinalysis: Interpretability of multidimensional ordinal data |
| title_sort | ordinalysis interpretability of multidimensional ordinal data |
| topic | Ordinal data Pre-model interpretability Dimension reduction Feature space Ordinal metrics |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023000390 |
| work_keys_str_mv | AT mouadzineelabidine ordinalysisinterpretabilityofmultidimensionalordinaldata AT helindutagaci ordinalysisinterpretabilityofmultidimensionalordinaldata AT davidrousseau ordinalysisinterpretabilityofmultidimensionalordinaldata |