mahout-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Ted Dunning <ted.dunn...@gmail.com>
Subject Re: Emitting distance from centroid for K-Means
Date Wed, 13 Jul 2011 20:25:17 GMT
I take back what I said.

Jeff is correct.

On Wed, Jul 13, 2011 at 1:23 PM, Jeff Eastman <jeastman@narus.com> 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:gsingers@apache.org]
> Sent: Wednesday, July 13, 2011 1:11 PM
> To: dev@mahout.apache.org
> 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
>
>
>

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message