xit_report

Examines trajectories output to name what was concluded, such as
convergence, maximum iterations reached, a zero cluster, etc. Multiple
conclusions are possible as not all are mutually exclusive.

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 

xit_report function

<dl><dt>cl</dt>
<dd>Output structure from <code>trajectories</code> function</dd>
<dt>maxdf</dt>
<dd>Fitting parameters. See <code>trajectories</code>.</dd>
<dt>conv</dt>
<dd>Fitting parameters. See <code>trajectories</code>.</dd></dl>

Arguments

xit_report — xit_report

<dl>

<dt>cl</dt>
<dd>Output structure from <code>trajectories</code> function</dd>


<dt>maxdf</dt>
<dd>Fitting parameters. See <code>trajectories</code>.</dd>


<dt>conv</dt>
<dd>Fitting parameters. See <code>trajectories</code>.</dd>

</dl>

xit_report: xit_report

Description

Usage

Value

Arguments