Can we model the sequence clustering problem into a traditional term-doc clustering ?
One approach I can think of is creating a self-similarity matrix between the sequences and then running a traditional clustering algo ( spectral or k-means ). That seems to be too expensive though. Any suggestions ? Thanks, -Prasen On Wed, Nov 11, 2009 at 3:53 PM, Isabel Drost <[email protected]> wrote: > On Sat prasenjit mukherjee <[email protected]> wrote: > >> I was thinking of using a semi-supervised ( unsupervised will be even >> better ) sequence clustering technique ( like CRF, HMM etc. ) Just >> curious, any work been done ( or discussed ) in this mailing list to >> perform sequence clustering using temporal data. > > So far none that I am aware of. There were a few discussions on HMMs > early on, but I am not sure what came out of that. > > Isabel >
