R: ~ Function: affectFuzzyIndiv ~

affectFuzzyIndiv {kml} | R Documentation

## ~ Function: affectFuzzyIndiv ~

### Description

Given some longitudinal data (trajectories) and k cluster's centers, `affectFuzzyIndiv` compute the matrix of individual membership (according to the algorithm fuzzy k-means).

### Usage

    affectFuzzyIndiv(traj, clustersCenter, fuzzyfier=1.25)

### Arguments

`traj` | `[matrix]`: longitudinal data. Each line is an individual, each column is a time measurement.
`clustersCenter` | `[matrix]`: cluster's centers. Each line is a cluster's center, each column is a time measurement.
`fuzzyfier` | `[numeric]`: value of the fuzzyfier used to compute individual's memberships.

### Details

Given a matrix of clusters center `clustersCenter` (each line is a cluster center), the function `affectFuzzyIndiv` compute for each individual and each cluster a "membership".

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

### Value

Matrix of the membership. Each line is an individual, column are for clusters.

### Examples

    #######################
    ### affectFuzzyIndiv

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

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

    ### Affectation of each individual
    affectFuzzyIndiv(traj,center)

[Package kml version 2.4.1 Index]