Ordinalysis: Interpretability of multidimensional ordinal data

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Zine-El-Abidine M., DUTAĞACI H., Rousseau D.

SoftwareX, vol.22, 2023 (SCI-Expanded, Scopus)

• Publication Type: Article / Article
• Volume: 22
• Publication Date: 2023
• Doi Number: 10.1016/j.softx.2023.101343
• Journal Name: SoftwareX
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
• Keywords: Ordinal data, Pre-model interpretability, Dimension reduction, Feature space, Ordinal metrics
• Eskisehir Osmangazi University Affiliated: Yes

Abstract

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.