hyperSpec (version 0.98-20161118)

pearson.dist: 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

Value

distance matrix (distance object)

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).

References

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

See Also

as.dist

Examples

# NOT RUN {
pearson.dist (flu [[]])
pearson.dist (flu)
# }