pam_cent: Centroid for partition around medoids

In dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance

Centroid for partition around medoids

Description

Extract the medoid time series based on a distance measure.

Usage

pam_cent(
  series,
  distance,
  ids = seq_along(series),
  distmat = NULL,
  ...,
  error.check = TRUE
)

Arguments

series	The time series in one of the formats accepted by tslist().
distance	A character indicating which distance to use. Only needed if distmat is NULL. The distance must be registered in proxy::pr_DB().
ids	Integer vector indicating which of the series should be considered.
distmat	Optionally, a pre-computed cross-distance matrix of all series.
...	Any extra parameters for the distance function that may be used.
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.

Details

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.

Value

The medoid time series.

Examples

# 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

dtwclust documentation built on Sept. 11, 2024, 9:07 p.m.