Principal components analysis /
Principal component analysis (PCA) is a technique that essentially converts observed correlated variables into unobserved uncorrelated components. This enables a data set containing many individual variables to be described using a small number of components that capture much of the variation in the...
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Bibliographic Details
| Main Author: |
Hutcheson, Graeme D.
(Author) |
| Other Authors: |
Atkinson, Paul, 1947-
(Editor),
Delamont, Sara, 1947-
(Editor),
Cernat, Alexandru
(Editor),
Sakshaug, Joseph W.
(Editor),
Williams, Richard A., active 2020
(Editor) |
| Format: | eBook
|
| Language: | English |
| Published: |
London :
SAGE Publications Ltd.,
2020.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book
|