DTW kernel features

The function extracts features from functional data based on the DTW distance with a reference dataframe.

Usage

extractFDADTWKernel(
  ref.method = "random",
  n.refs = 0.05,
  refs = NULL,
  dtwwindow = 0.05
)

Arguments

ref.method

(character(1))
How should the reference curves be obtained? Method random draws n.refs random reference curves, while all uses all curves as references. In order to use user-provided reference curves, this parameter is set to fixed.

n.refs

(numeric(1))
Number of reference curves to be drawn (as a fraction of the number of observations in the training data).

refs

(matrix|integer(n))
Integer vector of training set row indices or a matrix of reference curves with the same length as the functionals in the training data. Overwrites ref.method and n.refs.

dtwwindow

(numeric(1))
Size of the warping window size (as a proportion of query length).

Value

(data.frame).

See also

Other fda_featextractor: extractFDABsignal(), extractFDAFPCA(), extractFDAFourier(), extractFDAMultiResFeatures(), extractFDATsfeatures(), extractFDAWavelets()