R help - Jun 2005 - Different results in different runs with identical parametersin CLARA

> Dear All R Friends,
> When I run my data in any time with the below codes, I
> receive different results. 
 
Of course. See in 
L. Kaufman and P. Rousseeuw. Finding Groups in Data. John 
Wiley & Sons, Inc, 1990. 
There is a "random part" in clara.
 
> My data , k , samples, trace are
> identical in any run.
>  
>  c<- clara(mydata,4, metric= " euclidean " , stand= TRUE,
> samples=5 , trace=3, keep.data=TRUE ,  rngR=TRUE)
>  
> result of first try:
> Average silhouette width per cluster: 0.5881658
> result of second try:
> Average silhouette width of best sample: 0.6294549
> result of third try:
> Average silhouette width of best sample: 0.6609939 
> ...
> I think that only best sample changes in any run. 
> The question is here: 
> Which try ( or run) is optimal? How many try do I need to 
> achive to optimal case? Is it reliable ? Best Regards, Amir
> 
 
See it as *Explorative Data Analysis*. Each of your different 
results give you additional ideas of the structure of your data.
 
Best,
Matthias