On Metric Correction and Conditionality of Raw Featureless Data in Machine Learning-Reference-Cited by-同舟云学术

On Metric Correction and Conditionality of Raw Featureless Data in Machine Learning

Published:2018-10 Issue:4 Volume:28 Page:595-604
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Dvoenko S. D.,Pshenichny D. O.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1134/S1054661818040089.pdf

Reference15 articles.

1. R. A. Horn and C. R. Johnson, Matrix Analysis, 2nd ed. (Cambridge University Press, Cambridge, 2013).

2. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification (Wiley, New York, 2001).

3. S. D. Dvoenko, “Clustering and separating of a set of members in terms of mutual distances and similarities,” Trans. Mach. Learn. Data Mining 2 (2), 80–99 (2009).

4. S. D. Dvoenko and D. O. Pshenichny, “A recovering of violated metric in machine learning”, in Proc. 7th Symposium on Information and Communication Technology (SoICT’16) (ACM, New York, 2016), pp. 15–21. DOI: https://doi.org/10.1145/3011077.3011084

5. R. L. Bishop and R. J. Crittenden, Geometry of Manifolds (Academic Press, New York, 1964).

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