Method and algorithm of the piecewise-hyperplane clusterization using tools of pseudo-inverse matrices

Iurii V. Krak, G. I. Kudin, Olexander Barmak, Eduard Manziuk, Andrzej Smolarz, Оркен Мамырбаев, Orken J. Mamyrbayev

2019

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DOI 10.1117/12.2537417
Data confidence 85 high
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Abstract

Method and algorithm of multidimensional information scaling of the characteristics features based on the results of the theory of perturbation of pseudo-inverse and projective matrices and solutions of systems of linear algebraic equations is proposed. The algorithm of a piecewise-hyperplane clusterization with the verification of a given criterion for the effectiveness of the proposed method of the clusterization is developed. An example of using the method of scaling characteristic features for recognizing the fingerspelling alphabet of the sign language is given.