I am been using kmeans to cluster some data. For initial cluster I used random seed but that resulted in most of the documents (more than 70%) being clustered in a single cluster. So I want to use canopy clustering to create initial clusters but I am having problems selecting suitable values for T1 and T2. Is there any method to calculate the appropriate values depending upon the number of documents used for clustering? Any help will be appreciated.
-- Everything we hear is an opinion, not a fact. Everything we see is perspective, not the truth.
