R: ~ Function: calculTrajFuzzyMean ~

calculTrajFuzzyMean {kml} | R Documentation

## ~ 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)

[Package kml version 2.4.1 Index]