Multiscale principal component analysis
The problem of approximating multidimensional data with objects of lower dimension is a classical problem in complexity reduction. It is important that data approximation capture the structure(s) and dynamics of the data, however distortion to data by many methods during approximation implies that s...
Main Author: | Akinduko, Ayodeji Akinwumi |
---|---|
Other Authors: | Gorban, Alexander |
Published: |
University of Leicester
2016
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679861 |
Similar Items
-
Topics in descriptive Principal Component Analysis
by: Cadima, Jorge Filipe Campinos Landerset
Published: (1992) -
Multiscale mathematical modelling of cancer invasion
by: Peng, Lu
Published: (2015) -
Multiscale modelling of neutron star oceans
by: Harpole, Alice
Published: (2018) -
Multiscale modelling of de Vries type ferroelectric liquid crystals
by: Murray, Jonathan H.
Published: (2011) -
Ridge regression and principal components regression : Some finite sample results and extensions
by: Firinguetti, L.
Published: (1982)