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  1. 2019

  2. Group approach to solving the tasks of recognition

    Amirgaliyev, Y., Berikov, V., Cherikbayeva, L. S., Latuta, K. & Bekturgan, K., 1 Jan 2019, In: Yugoslav Journal of Operations Research. 29, 2, p. 177-192 16 p.

    Research output: Contribution to journal › Article › peer-review

  3. Semi-supervised classification using multiple clustering and low-rank matrix operations

    Berikov, V., 1 Jan 2019, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Proceedings. Khachay, M., Pardalos, P. & Kochetov, Y. (eds.). Springer-Verlag GmbH and Co. KG, p. 529-540 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11548 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Semi-supervised regression using cluster ensemble and low-rank co-association matrix decomposition under uncertainties

    Berikov, V. & Litvinenko, A., 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. Papadrakakis, M., Papadopoulos, V. & Stefanou, G. (eds.). National Technical University of Athens, p. 229-242 14 p. (Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. 2018

  6. A Probabilistic Model of Fuzzy Clustering Ensemble

    Berikov, V. B., 1 Jan 2018, In: Pattern Recognition and Image Analysis. 28, 1, p. 1-10 10 p.

    Research output: Contribution to journal › Article › peer-review

  7. Regression analysis with cluster ensemble and kernel function

    Berikov, V. & Vinogradova, T., 1 Jan 2018, Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Revised Selected Papers. Panchenko, A., van der Aalst, W. M., Khachay, M., Pardalos, P. M., Batagelj, V., Loukachevitch, N., Glavaš, G., Ignatov, D. I., Kuznetsov, S. O., Koltsova, O., Lomazova, I. A., Savchenko, A. V., Napoli, A. & Pelillo, M. (eds.). Springer-Verlag GmbH and Co. KG, p. 211-220 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11179 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Searching for optimal classifier using a combination of cluster ensemble and kernel method

    Berikov, V. B. & Cherikbayeva, L. S., 1 Jan 2018, In: CEUR Workshop Proceedings. 2098, p. 45-60 16 p.

    Research output: Contribution to journal › Conference article › peer-review

  9. 2017

  10. Cluster ensemble construction with the algorithm of averaged centroids

    Tatarnikov, V., Berikov Sobolev, V. & Pestunov, I., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 342-345 4 p. 8109902

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  11. Semi-supervised classification with cluster ensemble

    Berikov, V., Karaev, N. & Tewari, A., 14 Nov 2017, Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., p. 245-250 6 p. 8109880

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. Centroid averaging algorithm for a clustering ensemble

    Tatarnikov, V. V., Pestunov, I. A. & Berikov, V. B., 1 Sept 2017, In: Computer Optics. 41, 5, p. 712-718 7 p.

    Research output: Contribution to journal › Article › peer-review

  13. Construction of an optimal collective decision in cluster analysis on the basis of an averaged co-association matrix and cluster validity indices

    Berikov, V. B., 1 Apr 2017, In: Pattern Recognition and Image Analysis. 27, 2, p. 153-165 13 p.

    Research output: Contribution to journal › Article › peer-review

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