Discussion about math, puzzles, games and fun.   Useful symbols: ÷ × ½ √ ∞ ≠ ≤ ≥ ≈ ⇒ ± ∈ Δ θ ∴ ∑ ∫ • π ƒ -¹ ² ³ °

You are not logged in.

## #1 2005-09-09 11:17:21

Mystwalker
Novice

Offline

### Special cluster analysis needed?

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. :-(

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

Kind regards,
Dennis

Last edited by Mystwalker (2005-09-09 11:29:35)

## #2 2005-09-13 22:44:44

John E. Franklin
Star Member

Offline

### Re: Special cluster analysis needed?

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

Imagine for a moment that even an earthworm may possess a love of self and a love of others.