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**Mystwalker****Member**- Registered: 2005-09-08
- Posts: 1

Hi there!

Here is my problem:

I have 7 sets of 8 vectors each. I know that in most cases, each vector of a set is "similar" to a vector of each other set (let's call it a "type" - hence, I have 8 types).

Now, I want to put these vectors together (in order to get a mean value for each type).

Some kind of k-means cluster analysis seems to be a good choice. But so far, I haven't found a solution s.t. in each cluster, there is exactly one vector of each set.

Is there a variant that does exactly this?

Or is there an alternative approach?

I hesitate using one set as a reference system and trying to match the vectors of each set against it, because I'm quite sure the results would vary depending on the set I choose as reference system. :-(

Thanks in advance!

Note:

A solution that is easily applicable using the computer would be optimal.

Kind regards,

Dennis

*Last edited by Mystwalker (2005-09-08 13:29:35)*

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**John E. Franklin****Member**- Registered: 2005-08-29
- Posts: 3,562

What kind of vectors are these? What area of mathematics is this?

**igloo** **myrtilles** **fourmis**

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