I'm looking for a fast clustering method to cluster a large kind of datas to a unknown count of clusters.
I know about the PAM-Algorithm. But it's only efficient for low datasets.
Is there a alternative Algorithm? (And maybe a implementation in C or Java?)
With "parameter-free" i would said that i dont define the number of clusters or the distance between them. In time i only want to cluster time-stamps with the simple L1-Distance(maybe datasets between 1.000 and 5.000 datas). But maybe i want to be cluster datas in NxM (I'm not sure).