 
 
Dear All R Friends,
When I run my data in any time with the below codes, I receive different results. 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
 
 
 


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