Centroid for partition around medoids
Extract the medoid time series based on a distance measure.
pam_cent( series, distance, ids = seq_along(series), distmat = NULL, ..., error.check = TRUE )
series |
The time series in one of the formats accepted by |
distance |
A character indicating which distance to use. Only needed if |
ids |
Integer vector indicating which of the |
distmat |
Optionally, a pre-computed cross-distance matrix of all |
... |
Any extra parameters for the |
error.check |
Logical indicating whether the function should try to detect inconsistencies and give more informative errors messages. Also used internally to avoid repeating checks. |
The medoid's index is determined by taking the arg min of the distmat's row-sums
(considering only the rows in ids). The distance matrix is calculated if needed.
The medoid time series.
# Computes the distance matrix for all series pam_cent(CharTraj, "dtw_basic", ids = 6L:10L, window.size = 15L) # series_id = 7L # Computes the distance matrix for the chosen subset only pam_cent(CharTraj[6L:10L], "dtw_basic", window.size = 15L) # series_id = 2L
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.