Massive thanks for this great tool and it works absolutely fine with my data. In the paper, you mentioned that you experimented with different values of k to create the k-gram sequences. What metric would you recommend to evaluate these clusters?
For e.g. if I experiment with k -> [1,2,3,4,5] I would have 5 set of results (assuming I dont include time gaps at this stage, as that would double the number of results). How would I decide which clustering is the best? Is it simply the modularity score? If yes, each cluster has a modularity value but is there a way to amalgamate that for an entire set of results?
Hi,
Massive thanks for this great tool and it works absolutely fine with my data. In the paper, you mentioned that you experimented with different values of
kto create the k-gram sequences. What metric would you recommend to evaluate these clusters?For e.g. if I experiment with k -> [1,2,3,4,5] I would have 5 set of results (assuming I dont include time gaps at this stage, as that would double the number of results). How would I decide which clustering is the best? Is it simply the modularity score? If yes, each cluster has a modularity value but is there a way to amalgamate that for an entire set of results?