| distanceMatrix {GPFDA} | R Documentation |
Calculate generalised distances
Description
Calculate the generalised distance between vectors t and t' using an anisotropy matrix A.
-
distMatanddistMatSqcalculate:[(t - t')^{p/2}]^T A (t - t')^{p/2} -
distMatLinearanddistMatLinearSqcalculate:t^T A t'
Usage
distMat(input, inputNew, A, power)
distMatSq(input, A, power)
distMatLinear(input, inputNew, A)
distMatLinearSq(input, A)
Arguments
input |
Vector of the input coordinate t |
inputNew |
Vector of the input coordinate t' |
A |
Anisotropy matrix A |
power |
Power value p |
Details
The distMatSq and distMatLinearSq functions are
used when input vectors t and t' are identical, returning a symmetric matrix.
When distMat and distMatSq functions are used in
powered exponential kernels, power=1 gives the exponential kernel and
power=2 gives the squared exponential one.
distMatLinear and distMatLinearSq functions are used in the
linear covariance kernel.
Value
A matrix
[Package GPFDA version 3.1.3 Index]