Here is the reference::

http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans.predict

2012/11/12 Andreas Mueller <[email protected]>:
> Hi Christian.
> Some clustering algorithm (for example KMeans and MiniBatchKMeans)
> provide a "predict" function, which you can use to label new data.
> Not all algorithms support this as there is not always an obvious way
> to assign labels to new points (for example I don't know of any using
> mean-shift).
> Best,
> Andy
>
> Am 09.11.2012 15:46, schrieb Christian:
>> Hi,
>>
>> after fitting a clusterer  I'll label new data.  Is there an easier way
>> instead of building an ex-post classifier.
>>
>> Many thanks
>> Christian
>>
>>
>> example in weka:
>> #Building the clusterer and save the object in cluster.cla
>> java -cp weka.jar weka.clusterers.EM -t data0.arff -d cluster.cla
>>
>> === Clustering stats for training data ===
>>
>> Clustered Instances
>> 0       90 ( 12%)
>> 1      174 ( 23%)
>> 2      204 ( 27%)
>> 3        1 (  0%)
>> 4      143 ( 19%)
>> 5       35 (  5%)
>> 6      121 ( 16%)
>>
>> #Based on custer.cla I could label new data with:
>> java -cp weka.jar weka.clusterers.EM -T data1.arff -l cluster.cla -p 0
>> 0 1
>> 1 4
>> 2 1
>> 3 4
>> 4 0
>> 5 4
>> 6 4
>> 7 5
>> 8 0
>> 9 6
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
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>
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-- 
Peter Prettenhofer

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