R: ~ Algorithm fuzzy kml: Fuzzy k-means for Longitidinal data ~

fuzzyKmlSlow {kml} | R Documentation

## ~ Algorithm fuzzy kml: Fuzzy k-means for Longitidinal data ~

### Description

`fuzzyKmlSlow` is a new implementation of fuzzy k-means for longitudinal data (or trajectories).

### Usage

    fuzzyKmlSlow(traj, clusterAffectation, toPlot = "traj",
       fuzzyfier = 1.25, parAlgo = parALGO())

### Arguments

`traj` | `[matrix(numeric)]`: Matrix holding the longitudinal data
`clusterAffectation` | `[vector(numeric)]`: Initial starting condition
`toPlot` | `[character]`: if "traj", then the trajectories are plot. If "none", there is no graphical display (faster).
`fuzzyfier` | `[numeric]`: value of the fuzzy k-means algorithm fuzzyfier.
`parAlgo` | `[ParKml]`: default parameters for the algorithm.

### Details

`fuzzyKmlSlow` is a new implementation of fuzzy k-means for longitudinal data (or trajectories). To date, it is writen in R (and not in C, this explain the "slow")

### Value

The matrix of the individual membership.

### See Also

`kml`

### Examples

    ### Data generation
    traj <- gald(25)["traj"]
    partInit <- initializePartition(3,100,"kmeans--",traj)

    ### fuzzy Kml
    partResult <- fuzzyKmlSlow(traj,partInit)

[Package kml version 2.4.1 Index]