Angel, I thinks Ted means each example falls into one cluster. If you have k clusters, and each example should have one of the encodings: 1,2,…k.
On May 6, 2014, at 5:27 AM, Angel Luis Scull <ascu...@facinf.uho.edu.cu> wrote: > 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 >> <ascu...@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 >>> >
