Aloha!
I am new to hadoop and mahout, but I have set up the hadoop cluster.
I am working on a clustering task lately. I think I could not make
it quickly because I don't know too much about how to deal with massive
data ( my data contains 1400000 user and 50000 features..plus that is
sparse ).
Could you tell me how deal with that? A slice of data is here:
167555,152622,162252,79481,66540,41942,75500,167898,61923,182083,180681,181135,174449,166439,167307,174126,87800,2826,
98660,158620,33900,
4780,13922,45040,159210,26423,1471,68200,70402,109721,145860,23740,5818,15087,47861,158620,170482,170161,39120,164514,5854,169183,151229,171110,163457,4356,21363,1307,78105,1322,177011,167822,
176329,116300,175216,167307,46710,138740,100681,2089,1842,1206,101702,99210,50460,89605,177424,142901,176464,160625,38201,112101,4048,1716,167599,140883,158250,175399,
example above contains 4 user's data and each number is nominal
(denoting that is a kind of behavior of user, e.s, user 2 has
"98660","158620","33900" )
Please tell me how to work on that or which documents should I read..
Thx!
Don Tan
