A dimension reduction scheme for the computation of optimal unions of subspaces

Given a set of points F in a high dimensional space, the problem of finding a union of subspaces ∪ iV i ⊆ ℝ N that best explains the data F increases dramatically with the dimension of ℝ N. In this article, we study a class of transformations that map the problem into another one in lower dimension....

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Detalles Bibliográficos
Autores principales: Aldroubi, A., Anastasio, M., Cabrelli, C., Molter, U.
Formato: JOUR
Materias:
Concentration inequalities
Dimensionality reduction
Projective clustering
Random matrices
Sparsity
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15306429_v10_n1-2_p135_Aldroubi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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