pearson.dist {hyperSpec}

Distance based on Pearson's R^2

Description

The calculated distance is D^2 = \frac{1 - COR (\code{x}')}{2}

Usage

pearson.dist(x)

Arguments

x

a matrix

Details

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).

Value

distance matrix (distance object)

Author(s)

C. Beleites

References

S. Theodoridis and K. Koutroumbas: Pattern Recognition, 3rd ed., p. 495

See Also

as.dist

Examples

pearson.dist (flu [[]])
pearson.dist (flu)