A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling (original) (raw)

Springer eBooks, 2021

Abstract

In this paper, a classification method based on an ensemble learning of deep learning and multidimensional scaling is proposed for a problem of discrimination of large and complex data. The advantage of the proposed method is improving the accuracy of results of the discrimination by removing the latent structure of data which have low explanatory power as noise, and this is done by transforming original data into a space spanned by dimensions which explain the latent structure of the data. Using numerical examples, we demonstrate the effectiveness of the proposed method.

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