Canonical Correlation
Frederic P. Miller, Agnes F. Vandome, John McBrewster
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, canonical correlation analysis, introduced by Harold Hotelling, is a way of making sense of cross-covariance matrices. If we have two sets of variables, x_1, dots, x_n and y_1, dots, y_m, and there are correlations among the variables, then canonical correlation analysis will enable us to find linear combinations of the x 's and the y 's which have maximum correlation with each other. Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.
ISBN: 978-6-1337-5880-3
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Книга по требованию
Дата выхода: июль 2011