Abstract. Statistical learning algorithms often rely on the Euclidean distance. In practice, non-Euclidean or non-metric dissimilarity measures.
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In this paper, we investigate the relation between non-Euclidean aspects of dissimilarity data and the classification performance of the direct NN rule and some ...
Dive into the research topics of 'Non-Euclidean or non-metric measures can be informative'. ... Non-Euclidean or non-metric measures can be informative. In ...
Non-Euclidean or non-metric measures can be informative
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Non-Euclidean or non-metric measures can be informative. / Pekalska, EM; Harol, A; Duin, RPW et al. Structural, syntactic and statistical pattern recognition.
The conclusion is that statistical classifiers perform well and the optimal values of the parameters characterize a non-Euclidean and somewhat non-metric ...
May 24, 2023 · Non-Euclidean or non-metric measures can be informative ; Series: Lecture Notes in Computer Science ; Publisher: Springer Verlag ; Language:.
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This paper first analyzes the causes of choices and experimentally verifies that the non-Euclidean property of the measure can be informative, which appears ...
Non-Euclidean or Non-Metric Measures Can Be Informative by Elżbieta Pękalska ... Non-Euclidean or Non-Metric Measures Can Be Informative. Lecture Notes ...
that the non-Euclidean property of the measure can be informative. 1 . 1 ... non-metric measures can be informative. In: S+SSPR, pp. 871–880 (2006). 9 ...