Clusters have a constructor that accepts a vector that you can use for this.
On 2/2/13 2:17 PM, sri krishna wrote:
I checked the source code for usage of ClusterWritables to write centriods to a
sequence file i found out this
SequenceFile.Writer writer = new SequenceFile.Writer(fs, conf, path,
Text.class, ClusterWritable.class);
ClusterWritable clusterWritable = new ClusterWritable();
clusterWritable.setValue(canopy);
writer.append(new Text(canopy.getIdentifier()), clusterWritable);
heresetValue expects Cluster, what is the way i can convert a raw
vector(SequentialAccessSparseVector) to Cluster type ?
________________________________
From: Jeff Eastman <[email protected]>
To: [email protected]
Sent: Saturday, 2 February 2013 12:18 AM
Subject: Re: intial centriods for fuzzy k means algorithm
If you don't specify a -k value but specify a -ci directory that
contains clusters you want to use for the prior then the ClusterIterator
will use them for kmeans and fuzzyk. You will need to create one or more
sequence files containing ClusterWritables to do this.
On 2/1/13 9:08 AM, sri krishna wrote:
my question was more like how can i generate new centriods based on the
predefined points i give, as in my case i know the number of clusters and also
few points in each of the cluster.
________________________________
From: Rajesh Nikam <[email protected]>
To: [email protected]; sri krishna <[email protected]>
Sent: Friday, 1 February 2013 5:07 PM
Subject: Re: intial centriods for fuzzy k means algorithm
you could use canopy clustering from mahout to initialize centroids.
Thanks
Rajesh
On Fri, Feb 1, 2013 at 4:43 PM, sri krishna <[email protected]> wrote:
Hi,
I have sample set of few documents of each cluster(no of clusters known
and also few documents in each cluster are known in advance). How to
initialize the centriods with known documents, so that algorithm runs using
the given data points as centriods in mahout ?
