pearson.dist {hyperSpec}R Documentation

Calculate Distance based on Pearson's R^2

Description

The calculated distance is D^2 = (1 - COR (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., p0

See Also

as.dist

Examples

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

[Package hyperSpec version 0.95 Index]