"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction

Artelt A, Schulz A, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 27-38.

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Abstract / Bemerkung
Dimensionality reduction is a popular preprocessing and a widely used tool in data mining. Transparency, which is usually achieved by means of explanations, is nowadays a widely accepted and crucial requirement of machine learning based systems like classifiers and recommender systems. However, transparency of dimensionality reduction and other data mining tools have not been considered much yet, still it is crucial to understand their behavior – in particular practitioners might want to understand why a specific sample got mapped to a specific location. In order to (locally) understand the behavior of a given dimensionality reduction method, we introduce the abstract concept of contrasting explanations for dimensionality reduction, and apply a realization of this concept to the specific application of explaining two dimensional data visualization.
Erscheinungsjahr
2023
Titel des Konferenzbandes
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods
Seite(n)
27-38
Konferenz
12th International Conference on Pattern Recognition Applications and Methods
Konferenzort
Lisbon, Portugal
Konferenzdatum
2023-02-22 – 2022-02-24
ISBN
978-989-758-626-2
Page URI
https://pub.uni-bielefeld.de/record/2969383

Zitieren

Artelt A, Schulz A, Hammer B. "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications; 2023: 27-38.
Artelt, A., Schulz, A., & Hammer, B. (2023). "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 27-38. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0011618300003411
Artelt, André, Schulz, Alexander, and Hammer, Barbara. 2023. “"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction”. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 27-38. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications.
Artelt, A., Schulz, A., and Hammer, B. (2023). “"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction” in Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (Setúbal, Portugal: SCITEPRESS - Science and Technology Publications), 27-38.
Artelt, A., Schulz, A., & Hammer, B., 2023. "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, pp. 27-38.
A. Artelt, A. Schulz, and B. Hammer, “"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction”, Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2023, pp.27-38.
Artelt, A., Schulz, A., Hammer, B.: "Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. p. 27-38. SCITEPRESS - Science and Technology Publications, Setúbal, Portugal (2023).
Artelt, André, Schulz, Alexander, and Hammer, Barbara. “"Why Here and not There?": Diverse Contrasting Explanations of Dimensionality Reduction”. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications, 2023. 27-38.
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