plot_silhouette

Plots a list item, a silhouette, from the result of <code>clustra_sil</code> along
with the average silhouette value. Typically used via
<code>lapply(list, plot_silhouette)</code>

Clusters longitudinal trajectories over time (can be unequally
spaced, unequal length time series and/or partially overlapping series) on
a common time axis. Performs k-means clustering on a single continuous
variable measured over time, where each mean is defined by a thin plate
spline fit to all points in a cluster. Distance is MSE across trajectory
points to cluster spline. Provides graphs of derived cluster splines,
silhouette plots, and Adjusted Rand Index evaluations of the number
of clusters. Scales well to large data with multicore parallelism available
to speed computation.

George Ostrouchov

clustra

Clustering Longitudinal Trajectories

David Gagnon

Hanna Gerlovin

Chen Wei-Chen

Schmidt Drew

Oak Ridge National Laboratory 

U.S. Department of Veteran's Affairs 

plot_silhouette function

<dl><dt>sil</dt>
<dd>A data frame that is a list item returned by <code>clustra_sil</code>.</dd></dl>

Arguments

Plots a list item, a silhouette, from the result of clustra_sil along
with the average silhouette value. Typically used via
lapply(list, plot_silhouette) — plot_silhouette

<dl>

<dt>sil</dt>
<dd>A data frame that is a list item returned by <code>clustra_sil</code>.</dd>

</dl>

Plots a list item, a silhouette, from the result of <code>clustra_sil</code> along
with the average silhouette value. Typically used via
<code>lapply(list, plot_silhouette)</code>

plot_silhouette: Plots a list item, a silhouette, from the result of `clustra_sil` along with the average silhouette value. Typically used via `lapply(list, plot_silhouette)`

Description

Usage

Value

Arguments