Dear all,
I would like you to share with me your experience on how should I
handle my data. I have 1000 objects and I have a list of pair
similarity of them. I would like to know how to cluster them into
different groups according to their similarity?
I have browse through various methods such as hierarchy, k-means,
scaling dimension, etc. I really like k-means method but the problem
is that I don't have points (and their coordinates) in space but
rather their similarity.
Any suggestion is appreciated.
Kindest regards,
Sengly
