I take back what I said. Jeff is correct.
On Wed, Jul 13, 2011 at 1:23 PM, Jeff Eastman <[email protected]> wrote: > The weight is the probability the vector is a member of the cluster. For > FuzzyK and Dirichlet it is fractional, for KMeans it is 1 as the algorithm > is maximum likelihood and each point is only assigned to a single cluster. > > -----Original Message----- > From: Grant Ingersoll [mailto:[email protected]] > Sent: Wednesday, July 13, 2011 1:11 PM > To: [email protected] > Subject: Emitting distance from centroid for K-Means > > Does it make sense to output the distance to the cluster as the weight in > the KMeansClusterer.outputPointWithClusterInfo method instead of 1? What's > the purpose of the 1 as the weight? > > -Grant > > >
