Hi, I'm new to Mahout (and machine learning) but did quite a lot of reading, especially "Mahout in Action".
I'm trying to cluster users based on their profiles. By profile I mean attributes such as: age, gender, location and set of interests All the examples I saw so far were about vectors having dimensions of similar type (e.g. occurance of words in text) but in my case, each dimension is of different "type" and seem to require different distance measure. * Gender has two possible values - what distance measure should I use here? * Age has a larger set of possible values - euclidean distance? * Location, expressed as latitude and longitude - euclidean distance, but between pairs of points? * Interests, if expressed as a subset of a finite set - so the distance number of items, shared between two vectors. I assume I can write a custom distance measure for it. Other than deciding on correct distance measures, I'm not sure how to combine them into one clustering process. As I said, I'm new to this field so any help would be much appreciated. Thanks, Raviv -- View this message in context: http://lucene.472066.n3.nabble.com/Clustering-user-profiles-tp3654678p3654678.html Sent from the Mahout User List mailing list archive at Nabble.com.
