Thanks. I'm going to try to see what happens if I throw my data at py-cluster with some kind of nearness metric based initially upon Hamming distance - perhaps later can include bet size in this and kill two birds with one stone. Still going to be a lot of computational work to then group individual clusters, but intuitively it seems like this has to help somehow.
On Dec 1, 6:26 pm, "smartdude" <[EMAIL PROTECTED]> wrote: > Reading about hamming distance and clustering methods might help. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "Algorithm Geeks" group. To post to this group, send email to algogeeks@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups-beta.google.com/group/algogeeks -~----------~----~----~----~------~----~------~--~---
