kml: calculTrajFuzzyMean – R documentation

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calculTrajFuzzyMean

~ Function: calculTrajFuzzyMean ~

Description

Given some longitudinal data and a group's membership, calculFuzzyMean computes the mean trajectories of each cluster.

Usage

calculTrajFuzzyMean(traj, fuzzyClust)

Arguments

`traj`	`[matrix]`: longitudinal data. Each line is an individual, each column is a time measurement.
`fuzzyClust`	`[matrix(numeric)]`: membership matrix of each individual.

Details

Given a matrix of individual membership, the function calculTrajFuzzyMean compute the mean trajectory of each clusters.

affectFuzzyIndiv used with calculTrajFuzzyMean simulates one fuzzy k-means step.

Value

A matrix with k line and t column containing k clusters centers. Each line is a center, each column is a time measurement.

Examples

#######################
### calculTrajFuzzyMean

### Some LongitudinalData
traj <- gald()["traj"]

### 4 clusters centers
center <- traj[runif(4,1,nrow(traj)),]

### Affectation of each individual
membership <- affectFuzzyIndiv(traj,center)

### Computation of the mean's trajectories
calculTrajFuzzyMean(traj,membership)

kml

K-Means for Longitudinal Data

v2.4.1

GPL (>= 2)

Authors

Christophe Genolini [cre, aut], Bruno Falissard [ctb]

Initial release

2016-02-02