~ Function: plotCriterion ~
This function graphically displays the quality criterion of all the
Partition of a ListPartition object.
plotCriterion(x, criterion=x["criterionActif"],nbCriterion=100)
x |
[ClusterLongData]: object whose quality criterion should be displayed. |
criterion |
[character]: name of the criterion(s) to plot. It can either display all the value for a single specific criterion or display several criterion, only the best value for each clusters number and for each criterion. |
nbCriterion |
[numeric]: if there is a big number of
|
This function display graphically the quality criterion (probably to decide the best clusters' number). It can either display all the criterion ; this is useful to see the consistency of the result : is the best clusterization obtain several time or only one ? It can also display only the best result for each clusters number : this helps to find the local maximum, which is classically used to chose the "correct" clusters' number.
No value are return. A graph is printed.
###############
### Data generation
data(artificialLongData)
traj <- as.matrix(artificialLongData[,-1])
### Some clustering
listPart <- listPartition()
listPart["add"] <- partition(rep(c("A","B"),time=100),traj)
listPart["add"] <- partition(rep(c("A","B","B","B"),time=50),traj)
listPart["add"] <- partition(rep(c("A","B","C","A"),time=50),traj)
listPart["add"] <- partition(rep(c("A","B","C","D"),time=50),traj)
ordered(listPart)
################
### graphical display
plotCriterion(listPart)
plotAllCriterion(listPart,criterion=CRITERION_NAMES[1:5],TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.