Hello again,
I am trying to do some (k-means) clustering on a very large matrix.
The matrix is approximately 500000 rows x 4000 cols yet very sparse (only a couple of "1" values per row). I want to get around 2000 clusters.
I got two questions: - Can someone recommend an open source platform or tool for doing that (maybe using k-means, maybe with something better)? - How can I best estimate the time the algorithm will need to finish? I tried weka once, but aborted the job after a couple of days because I couldn't tell how much time it would take.
Thanks!