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From sharath jagannath <sharathjagann...@gmail.com>
Subject Re: Clustering with KMeans
Date Tue, 08 Feb 2011 21:46:36 GMT
Now with t1=800, t2=750, SquaredEuclideanDistanceMeasure, I have 197
clusters:

C-197{n=1 c=[194:13.118, 346:13.820, 497:13.118, 620:13.118, 1224:11.650]
r=[0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000,
0.000, 0.000, 0.000, 0.000, 0.000...


>From the above sample output you can see cluster Id 197, centroids, number
of points and radius.

For any value of t1 and t2 I always get n = 1. This is quite strange.

Does it have to do anything with my dataset? Sorry for the confusion
created. All these while I have being saying number of clusters to be 1.



Thanks,

Sharath

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