mlsanityData to 7 Oct 2026

Scaling Dimension

arXiv 2302.09101 ↗First posted 17 Feb 2023cs.LG cs.AIcited by 2

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Abstract (arXiv)

Conceptual Scaling is a useful standard tool in Formal Concept Analysis and beyond. Its mathematical theory, as elaborated in the last chapter of the FCA monograph, still has room for improvement. As it stands, even some of the basic definitions are in flux. Our contribution was triggered by the study of concept lattices for tree classifiers and the scaling methods used there. We extend some basic notions, give precise mathematical definitions for them and introduce the concept of scaling dimension. In addition to a detailed discussion of its properties, including an example, we show theoretical bounds related to the order dimension of concept lattices. We also study special subclasses, such as the ordinal and the interordinal scaling dimensions, and show for them first results and examples.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 17 Feb 2023.

Builds on

6 of 17 references.

References · 6

  1. 2020On the Lattice of Conceptual Measurementscited by 8
  2. 2018Intrinsic Dimension of Geometric Data Setscited by 7
  3. 2021Quantifying the Conceptual Error in Dimensionality Reductioncited by 6
  4. 2019What is the dimension of your binary data?cited by 3
  5. 2023Conceptual Views on Tree Ensemble Classifierscited by 3
  6. 2022Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysiscited by 1

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Cited by year

Citing papers per year: 2023: 1; 2024: 1.

2 papers.