CLUSTERING. DECREASE OF DIMENSION OBJECT DESCRIPTION IN MASTER EDUCATION AND VISUALIZATION OF DATA. T-SNE METHOD

Authors

  • Yaroslav Podzirei National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Rehida Pavlo National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

In this article, the question of clustering, reducing the size of the characteristics of the sample of input objects of analysis and data visualization using the t-SNE algorithm. A variant of possible improvement of this algorithm is proposed. For testing, Python language and the popular scikit-learn library are used.

   Key words: machine learning, clustering, diminishing of the dimension of the sample of traits, data visualization, t-SNE algorithm.

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Published

2023-11-08

Issue

2018

Section

Machine learning, Big Data