silhouette.ct: Silhouettes for continuous-time k-means clustering

In ctmva: Continuous-Time Multivariate Analysis

Silhouettes for continuous-time k-means clustering

Description

Computes the silhouette index, at a grid of time points, for a continuous-time k-means clustering object produced by kmeans.ct.

Usage

silhouette.ct(kmobj, ngrid = 5000)

Arguments

kmobj	continuous-time k-means clustering from kmeans.ct
ngrid	number of equally spaced grid points at which to compute the silhouette index

Value

Object of class "silhouette.ct", a list consisting of

grid	grid of ngrid points spanning the time range
value	silhouette index at each point along the grid
transitions	transition points between segments
cluster	cluster memberships in the segments defined by the transitions
mean	mean silhouette index

Note

An error is issued if the grid of time points contains one or more of the cluster transition points. This should not ordinarily occur, but if it does, it can be remedied by modifying ngrid.

Author(s)

Philip Tzvi Reiss <[e-mail]>

See Also

kmeans.ct, which includes an example; plot.silhouette.ct

ctmva documentation built on June 22, 2024, 12:27 p.m.