Titlebook: Unsupervised Feature Extraction Applied to Bioinformatics; A PCA Based and TD B Y-h. Taguchi Book 20201st edition Springer Nature Switzerla

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Servile

Matrix Factorizationith smaller rank to approximate the original one, it can be considered to be a good approximation. Matrix factorization also has some relationship with geometrical representation. Generated matrices can be considered to be projection onto lower dimensional space.

Factorable

Application of TD Based Unsupervised FE to Bioinformatics such situations. The first situation is that data itself should be formatted in tensor rather than matrix. The second situation is the integrated analysis of more than two matrices. In this chapter, we will demonstrate in which situation TD based unsupervised FE is better to be applied.

hauteur

GREEN

Book 20201st editionir application to a wide range of topics. .Allows readers to analyze data sets with small samples and many features;.Provides a fast algorithm, based upon linear algebra, to analyze big data;.Includes several applications to multi-view data analyses, with a focus on bioinformatics..

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uthor should persuade, and left the text to speak for itself. It has, indeed, stimulated a steady interest, to the point that Springer-Verlag has now commission978-0-387-97764-5978-1-4612-2892-9Series ISSN 1431-875X Series E-ISSN 2197-4136

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