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From Angel Luis Scull <ascu...@facinf.uho.edu.cu>
Subject Re: Using clustering output for classification
Date Mon, 05 May 2014 21:27:49 GMT
What do you mean with "get a 1 of n encodings..."

On 05/05/14 16:59, Ted Dunning wrote:
> In theory, what you need to do is take your training data for your
> classifier and run your clustering to get a 1 of n encoding of the cluster
> for each example in the training data.
>
> Then train the classifier using original and new features.
>
> Does that help?  I have a simple demo of the process in R that I do if that
> would help.
>
>
>
>
> On Mon, May 5, 2014 at 5:53 PM, Angel Luis Scull
> <ascullp@facinf.uho.edu.cu>wrote:
>
>> Hello to all
>>
>> I've a document dataset that I applied kmeans over it an obtained a
>> clusters, now I want to use this the association of the vectors and
>> clusters as input for a classification algorithm.
>>
>> How can I achieve that?
>>
>> thanks in advance
>>


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