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Re: K-Means Clustering
From: |
John Darrington |
Subject: |
Re: K-Means Clustering |
Date: |
Wed, 9 Mar 2011 13:21:59 +0000 |
User-agent: |
Mutt/1.5.18 (2008-05-17) |
Hi Mehmet!
As I mentioned, the CLUSTER command is soemthing which I think it would be
great to support.
One issue with clustering is its memory complexity. It requires O(n^2) where
n is the number of cases being clustered.
Have you tested your algorithm with large numbers of cases?
Maybe Ben has some ideas how an efficient distance matrix can be implemented
in PSPP (maybe sparse-array.c can help?) .
In any case, I'd be interested to see your code, and the results of your
comparisons. Can you post them somewhere?
J'
On Tue, Mar 08, 2011 at 05:56:37AM -0800, Mehmet Hakan Satman wrote:
hi everybody,
I am interested in PSPP and i read about something about the needs for
developing some functionality.
I implemented a k-means clustering library using the GNU scientific
library and
sent an informative e-mail to John. He suggested me to join this group and
share
my ideas with the stuff.
I compared the results with SPSS outputs. The analysis of variance table
is not
completed but we may add this feature.
I would be glad to integrate something to PSPP and work with you.
What do you think about this?
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- K-Means Clustering, Mehmet Hakan Satman, 2011/03/08
- Re: K-Means Clustering,
John Darrington <=
- Re: K-Means Clustering, Duane Currie, 2011/03/09
- Re: K-Means Clustering, Ben Pfaff, 2011/03/09
- Message not available
- Re: K-Means Clustering, John Darrington, 2011/03/10
- Re: K-Means Clustering, Mehmet Hakan Satman, 2011/03/10
- Re: K-Means Clustering, John Darrington, 2011/03/10
- Re: K-Means Clustering, Mehmet Hakan Satman, 2011/03/10
- Re: K-Means Clustering, Mehmet Hakan Satman, 2011/03/11
- Re: K-Means Clustering, John Darrington, 2011/03/12