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From: Veronica Joh <vj8211@hotmail.com>
To: <user@mahout.apache.org>
Subject: Incremental clustering - Kmeans + Canopy
Date: Thu, 20 Jan 2011 15:24:28 +0000
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Hi=20
I have large number of artcles clustered by kmeans.=20
For the new articles that comes in=2C it says I need to "use canopy cluster=
ing to assign it to the cluster whose centroid is closest based on a very s=
mall distance threshold" according to Mahout in Action book.=20
I'm not sure how to add new article canopies to the existing cluster.=20
=20
So I'm saving batch articles in a list of Cluster like this.=20
List<Cluster> clusters =3D new ArrayList<Cluster>()=3B=20
=20
For the new article canopies=2C I'm trying following to measure the distanc=
e=2C but I get error like this. "Required cardinality 11981 but got 77372"=
=20
Text key =3D new Text()=3B=20
Canopy value =3D new Canopy()=3B=20
DistanceMeasure measure =3D new EuclideanDistanceMeasure()=3B=20
while (reader.next(key=2C value)){=20
     for (int i=3D0=3B i<clusters.size()=3B i++){=20
        double d =3D measure.distance(clusters.get(i).getCenter()=2C value.=
getCenter())=3B=20
     }=20
}=20
=20
Is this how to compare cluster centroids with new canopies?  or Did I misun=
dertand something?=20
Can you please help me so I can get the online news clustering working?=20
Thank you very much!  		 	   		  =

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