Principal component analysis is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. This book reduces to the solution of an eigenvalue eigenvector problem for a positive semi definite symmetric matrix.
| ISBN-13: | 9781682502556 |
| ISBN-10: | 1682502554 |
| Publisher: | Magnum Publishing LLC |
| Publication date: | 2016-01-01 |
| Author: | Maria Monfreda |
| Language: | English |
| Binding: | Hardcover |
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