Ordinalysis: Interpretability of multidimensional ordinal data

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

SoftwareX, cilt.22, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.softx.2023.101343
  • Dergi Adı: SoftwareX
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
  • Anahtar Kelimeler: Ordinal data, Pre-model interpretability, Dimension reduction, Feature space, Ordinal metrics
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

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.