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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 11:09:53 GMT
I think it shouldn't be sparse in the beginning, the seq2sparse should 
take care of it.
Some one will correct me if I would be wrong, so, wait for some time and 
then go ahead.

On 12-09-2012 16:07, Don.Tan wrote:
> Thank you for you promptly reply. Can I ask a question before I go on?
>
>      My original data is in a format like that:
> 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,
>
> which is in a sparse format. Is that correct to use seqdirectory and 
> seq2sparse directly?
>
>
> On 09/12/2012 06:30 PM, Paritosh Ranjan wrote:
>> 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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