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From Paritosh Ranjan <pran...@xebia.com>
Subject Re: How to use kmeans clustering algorithm of Mahout
Date Wed, 12 Sep 2012 10:30:56 GMT
Also try to follow the steps in cluster-reuters.sh file. This might help.

On 12-09-2012 15:59, Paritosh Ranjan wrote:
> Can you explain something about the error and provide the stacktrace ?
>
> On 12-09-2012 14:22, Don.Tan wrote:
>> The original data is here:
>>
>> [hadoop@datamining ~]$ hadoop fs -ls /home/test/test
>> Found 1 items
>> -rw-r--r--   1 hadoop supergroup  129213799 2012-09-12 15:45 
>> /home/test/test/result
>>
>> After I used "mahout seqdirectory -i /home/test/test/ -o 
>> /home/test/result/ -c UTF-8", get this:
>>
>> [hadoop@datamining ~]$ hadoop fs -ls /home/test/result
>> Found 1 items
>> -rw-r--r--   1 hadoop supergroup  129213898 2012-09-12 15:47 
>> /home/test/result/chunk-0
>>
>> And after "mahout seq2sparse -i /home/test/result -o /home/test/sparse":
>>
>> [hadoop@datamining ~]$ hadoop fs -ls /home/test/sparse
>> Found 7 items
>> drwxr-xr-x   - hadoop supergroup          0 2012-09-12 15:54 
>> /home/test/sparse/df-count
>> -rw-r--r--   1 hadoop supergroup     442252 2012-09-12 15:53 
>> /home/test/sparse/dictionary.file-0
>> -rw-r--r--   1 hadoop supergroup     394853 2012-09-12 15:54 
>> /home/test/sparse/frequency.file-0
>> drwxr-xr-x   - hadoop supergroup          0 2012-09-12 15:53 
>> /home/test/sparse/tf-vectors
>> drwxr-xr-x   - hadoop supergroup          0 2012-09-12 15:54 
>> /home/test/sparse/tfidf-vectors
>> drwxr-xr-x   - hadoop supergroup          0 2012-09-12 15:53 
>> /home/test/sparse/tokenized-documents
>> drwxr-xr-x   - hadoop supergroup          0 2012-09-12 15:53 
>> /home/test/sparse/wordcount
>>
>> Which should I do next? I used "mahout kmeans -i /home/test/sparse/ 
>> -o /home/test/kmeans -dm 
>> org.apache.mahout.common.distance.CosineDistanceMeasure -x 10 -k 20 
>> -ow --clustering"
>> but I got error.....
>>
>> Thx!
>>
>>
>> On 09/12/2012 03:24 PM, Paritosh Ranjan wrote:
>>> I think you will need these two commands ( in the same order ) :
>>>
>>> seqdirectory : Generate sequence files (of Text) from a directory
>>> seq2sparse: Sparse Vector generation from Text sequence files
>>>
>>> On 12-09-2012 12:28, Don Tan wrote:
>>>> I think I didn't explain clear enough and sorry for that.
>>>>
>>>> The example showed before is a part of my data.
>>>>
>>>> Each line is a user profile, for example, the first row is the 
>>>> features of
>>>> a user. And I want to apply k-means to this data.
>>>>
>>>> I need to create a file saves all users profile as sparse vector 
>>>> and put
>>>> them in mahout k-means algorithm, how can I do that?
>>>>
>>>>   Thanks for your advice!
>>>>
>>>> Don Tan
>>>>
>>>> 2012/9/12 Paritosh Ranjan <pranjan@xebia.com>
>>>>
>>>>> I could not understand the question correctly, can you explain more?
>>>>> Here you can find how to use kmeans algorithm of Mahout
>>>>> https://cwiki.apache.org/**confluence/display/MAHOUT/K-**Means+Clustering<https://cwiki.apache.org/confluence/display/MAHOUT/K-Means+Clustering>

>>>>>
>>>>> .
>>>>>
>>>>>
>>>>> On 12-09-2012 11:43, Don.Tan wrote:
>>>>>
>>>>>> 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
>>>>>>
>>>>>
>>>>>
>>>
>>>
>>
>
>



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