Re: Write the cluster in dataset

Ok, I know whats is k-means, I'm graduated and master in Statistics, and Phd
in Markovs Chain.
So, sorry my mistake. But if anyone can give a hand on this I'll apreciate.

Tks everyone,



--
Paulo Carvalho


"Roy Harvey (SQL Server MVP)" wrote:

On Fri, 19 Sep 2008 15:32:01 -0700, Paulo <paulo@xxxxxxxxxxxxx> wrote:

I'm running K-Means

So I just want to create a field with the cluster group in the table that I
applied the method...

I did a Google search and came up with something on Wikipedia:

=========
K-means algorithm
From Wikipedia, the free encyclopedia

The k-means algorithm is an algorithm to cluster n objects based on
attributes into k partitions, k < n. It is similar to the
expectation-maximization algorithm for mixtures of Gaussians in that
they both attempt to find the centers of natural clusters in the data.
It assumes that the object attributes form a vector space. The
objective it tries to achieve is to minimize total intra-cluster
variance, or, the squared error function
==========

I hate to disappoint you but microsoft.public.sqlserver.clustering is
for the discussion of Microsoft SQL Server running on multiple
(clustered) Windows servers. The idea is when one server goes down,
another server in the cluster takes over the work.

Which is quite different from K-Means.

Roy Harvey
Beacon Falls, CT

.

Relevant Pages

  • Re: Write the cluster in dataset
    ... So I just want to create a field with the cluster group in the table that I ... I did a Google search and came up with something on Wikipedia: ... The k-means algorithm is an algorithm to cluster n objects based on ... The idea is when one server goes down, ...
    (microsoft.public.sqlserver.clustering)
  • Re: Clustering von kategoriellen Daten
    ... > Florian Laws wrote: ... wieviele Cluster man haben will. ... Ich hatte k-Means nur mal so als Beispiel genommen, ... Next by Date: ...
    (de.sci.informatik.ki)
  • Calculating centroids in k-means clustering (for different distance metrics)
    ... I have successfully implemented k-means using Euclidean distance ... Normalized Cluster Centers with KMedians) ... A central part of k-means clustering is that a centroid is calculated ...
    (sci.math)
  • Re: Setting cluster seeds for K-Means analysis in SPSS
    ... First do a K-means, 2 cluster, select Write final as (select Options ... Open the previously saved file, replace the data in SPSS and save. ... > I've done a heirarchical cluster analysis and decided on a 2 cluster ...
    (sci.stat.edu)
  • Re: Setting cluster seeds for K-Means analysis in SPSS
    ... First do a K-means, 2 cluster, select Write final as (select Options ... Open the previously saved file, replace the data in SPSS and save. ... > I've done a heirarchical cluster analysis and decided on a 2 cluster ...
    (sci.stat.math)
Loading