kmlShape-package: ~ Package: kmlShape ~

In kmlShape: K-Means for Longitudinal Data using Shape-Respecting Distance

Description

KmlShape is a package design to cluster longitudinal data according to their shape.

Details

Package:	KmlShape
Type:	Package
Version:	0.9.5
Date:	2016-03-04
License:	GPL >2.0

kmlShape cluster longitudinal data according to their shape: instead of merging individual whose trajectories are closed in term of euclidienne distance, it groups the individual that are closed according Frechet's distance.

Since k-means using Frechet has a complexity in O(n^2t^2), KmlShape also provide some function to reduce the size of the data without changing the result:

• reduceNbId reduce the number of individual, by merging them using a classical k-means on many centers.

• reduceNbTimes reduce the number of measurement, by (optionaly) smoothing the curve then by applying the Douglas-Peuker algorithms.

Author(s)

Christophe Genolini <[e-mail]>

Examples

#########
### Real example, on ictus data

### Preparing the data
set.seed(1)
data(ictusShort)
myClds <- cldsWide(ictusShort)

### Reducing the data size
reduceTraj(myClds,nbSenators=64,nbTimes=5)

### Clustering using shape
kmlShape(myClds,4)

plotMeans(myClds)

kmlShape documentation built on May 1, 2019, 7:50 p.m.