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
