Re: Fuzzy K Means

[Jeff Eastman]

Very similar, especially when you consider that k-means only adds the 
whole point value to the single, closest cluster (i.e. 
weightedPointTotal += 1), whereas fuzzy adds it partially to all. I 
don't think the other clustering routines require/expect numPoints to be 
an integer and the instvar could probably be generalized to double 
weightedPointTotal without impact.

Perhaps better to consider that change separately, as there are a number 
of tests which compare getNumPoints() with an integer value and would 
have to be adjusted. Likely it would be just adding an (int) cast as the 
values in non-fuzzy tests would always be whole numbers.


Pallavi Palleti wrote:
Yes. But not the total number of points. So, the numpoints from 
ClusterBase will not be used in SoftCluster. numpoints is specific to 
Kmeans similar to weightedpoint total for fuzzy kmeans.

Robin Anil wrote:
the center is still the averaged out centroid right?
weightedtotalvector/totalprobWeight



On Wed, Feb 17, 2010 at 5:10 PM, Pallavi Palleti <
pallavi.pall...@corp.aol.com> wrote:

 
I haven't yet gone thru ClusterDumper. However, ClusterBase would be 
having
number of points to average out (pointTotal/numPoints as per kmeans) 
where
as SoftCluster will have weighted point total. So, I am wondering 
how can we
reuse ClusterBase here?


Thanks
Pallavi

Robin Anil wrote:

   
yes. So that cluster dumper can print it out.

On Wed, Feb 17, 2010 at 5:02 PM, Pallavi Palleti <
pallavi.pall...@corp.aol.com> wrote:



     
Hi Robin,

when you meant by reusing ClusterBase, are you planning to extend
ClusterBase in SoftCluster? For example, SoftCluster extends 
ClusterBase?

Thanks
Pallavi


Robin Anil wrote:



       
I have been trying to convert FuzzyKMeans SoftCluster(which 
should be
ideally be named FuzzyKmeansCluster) to use the ClusterBase.

I am getting* the same center* for all the clusters. To aid the
conversion
all i did was remove the center vector from the SoftCluster class 
and
reuse
the same from the ClusterBase. These are essentially making no 
change in
the
tests which passes correctly.

So I am questioning whether the implementation keeps the average 
center
at
all ? Anyone who has used FuzzyKMeans experiencing this?


Robin