kml: fuzzyKmlSlow – R documentation

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kml

fuzzyKmlSlow

~ 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.

Examples

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

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

kml

K-Means for Longitudinal Data

v2.4.1

GPL (>= 2)

Authors

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

Initial release

2016-02-02