pearson-dot-dist: Distance based on Pearson's R^2{R squared}...
Description
Distance based on Pearson's $R^2$
Usage
pearson.dist(x)
Arguments
x
a matrix
Value
distance matrix (distance object)
Details
The calculated distance is
$D^2 = \frac{1 - COR (\code{x}')}{2}$
The distance between the rows of x is calculated. The possible
values range from 0 (prefectly correlated) over 0.5 (uncorrelated) to 1
(perfectly anti-correlated).
References
S. Theodoridis and K. Koutroumbas: Pattern Recognition, 3rd ed., p. 495