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