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Journal of Pure and Applied Mathematics

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Concatenation of Orthogonal Analytics and Geometrical Projections

Author(s): Michael Th Rassias*

Projections are an important class of linear transformations (besides rotations and reflections) and play an important role in graphics, coding theory, statistics and machine learning. In machine learning, we often deal with data that is high-dimensional. High-dimensional data is often hard to analyze or visualize.


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Citations : 83

Journal of Pure and Applied Mathematics received 83 citations as per Google Scholar report

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