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
<[email protected]>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
