UDC 004.855.5
1 Taras Shevchenko National University of Kyiv; V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 yuri.krak@gmail.com
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THE TECHNIQUE OF INVERSE MULTIDIMENSIONAL SCALING
FOR THE SYNTHESISOF MACHINE LEARNING MODELS
Abstract. The created technique offers a technique of projecting a mental model obtained based on visual analytics into the space of machine use. The effectiveness of the use of visual analytics consists in 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 a machine learning model. Examples that demonstrate the effectiveness of using the proposed methodology for solving practical problems are given.
Keywords: visual analytics, machine learning, model formation, formal model, mental model, inverse multidimensional scaling.
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