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The Technique of Inverse Multidimensional Scaling for the Synthesis of Machine Learning Models

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Cybernetics and Systems Analysis Aims and scope

Abstract

The created methodology offers a technique of projecting a mental model obtained based on visual analytics into the space of machine use. The efficiency of the use of visual analytics consists of mapping the multidimensional space of features into the visual space and providing a mechanism for formalizing the mental model. This allows a person to be integrated into the process of formation and training of a machine learning model. Examples that demonstrate the efficiency of using the proposed methodology for solving practical problems are given.

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Authors and Affiliations

  1. Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

    Iu. Krak

  2. V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Iu. Krak

  3. Khmelnytskyi National University, Khmelnytskyi, Ukraine

    O. Barmak

Authors
  1. Iu. Krak
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  2. O. Barmak
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Correspondence to Iu. Krak.

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Translated from Kibernetyka ta Systemnyi Analiz, No. 5, September–October, 2023, pp. 46–54.

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Krak, I., Barmak, O. The Technique of Inverse Multidimensional Scaling for the Synthesis of Machine Learning Models. Cybern Syst Anal 59, 725–732 (2023). https://doi.org/10.1007/s10559-023-00608-9

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  • DOI: https://doi.org/10.1007/s10559-023-00608-9

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