traj-package {traj}R Documentation

traj: Clustering of Functional Data Based on Measures of Change

Description

Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-medoids or k-means algorithm to identify clusters of trajectories.

Author(s)

Maintainer: Laurence Boulanger laurence.boulanger@umontreal.ca

Authors:

Other contributors:

See Also

Useful links:


[Package traj version 2.2.1 Index]