Hi Syed, to answer your first question, YES mahout is totally capable of clustering in three dimension. However, as far as my knowledge goes with KMeansClustering, each feature (dimension) has to be the same type. Meaning there has to be one distance metric which is capable of expressing the distance between every to points. That said i don't think that you can define a metric which uses seqid, text and text(filepath) as coordinates. But I think you could just use the body of your index and calculate something like cosine distance to cluster your index entries, as seqid is propably unique to every entry and the file path is not really relevant (at least I can't come up with any suitable use case).
TL;DR: Yes you can cluster in multiple dimensions as long as you can define a distance between every pair. You probably better off using just the body text of your solr index. Regards, Christoph Am 05.12.2011 um 14:09 schrieb syed kather: > Team, > > Is it possible to clustering in 3D? > > > I am trying the case like give below. > > 1. I am have having solr index with three Fields (SEQID,BODY(content of > Text file),FILEPATH); > > Now i need to cluster this Please Help me how to do this is there a way? > > Thanks and Regards, > S SYED ABDUL KATHER
