Reduced Basis Decomposition

Versión 1.0.0.0 (5,42 KB) por Yanlai Chen
Employing a greedy algorithm, RBD approximates the column space of a matrix X faster than SVD does.
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Actualizado 20 mar 2015

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Reduced Basis Decomposition (RBD) is a new decomposition strategy inspired by the Reduced Basis Method. Given X the high-dimensional data, RBD approximates it by a product YT with Y being the low-dimensional surrogate and T the transformation matrix. This is done through a greedy algorithm thus very efficient. In fact, it is significantly faster than SVD with comparable accuracy in many cases shown.
RBD has been demonstrated to work well as a dimension reduction tool for many data mining tasks.

Citar como

Yanlai Chen (2024). Reduced Basis Decomposition (https://www.mathworks.com/matlabcentral/fileexchange/50125-reduced-basis-decomposition), MATLAB Central File Exchange. Recuperado .

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Inspiración para: Activity Recognition with Reduced Basis Decomposition

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RBD_V1/

Versión Publicado Notas de la versión
1.0.0.0