Re: MDS map: proximities and Euclidean distances

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Re: MDS map: proximities and Euclidean distances

Kooij, A.J. van der
Create  a new structure that looks like:
 
 
      x1  x2  ..  etc
obj1  ..  ..
obj2  ..  ..
obj3  ..  ..
...           ..  
etc               ..
 
and work from there.
 
Good luck, Frank.
 

________________________________

From: SPSSX(r) Discussion on behalf of Homayoun
Sent: Fri 26/01/2007 15:36
To: [hidden email]
Subject: Re: MDS map: proximities and Euclidean distances



Hi Frank,

Thank you for the syntax. Actually my data structure for case of two objects is like:


    Object 1                           Object2
x1               y1                x2               y2


To find the distance between these two objects, I can write distance formula in syntax. However, suppose I have 5 objects, and want to find the distance between pair of objects (10 pairs). I wonder if there is an easy way in SPSS to find distance matrix of pairs.


Thanks,
Homayoun



----- Original Message ----
From: "Busing, Frank" <[hidden email]>
To: [hidden email]
Sent: Thursday, January 25, 2007 8:11:28 AM
Subject: MDS map: proximities and Euclidean distances


Dear Homayoun.

I thinks it must be something like this:

DATA

       X           Y
    1,00            5,00
    2,00            6,00
    3,00            7,00
    4,00            8,00

PROXIMITIES X Y
  /VIEW        = CASE
  /MEASURE     = EUCLID
  /STANDARDIZE = NONE.

RESULTS

        Proximity Matrix

         Euclidean Distance  
        1       2       3       4  
1       ,000    1,414   2,828   4,243  
2       1,414   ,000    1,414   2,828  
3       2,828   1,414   ,000    1,414  
4       4,243   2,828   1,414   ,000  
This is a dissimilarity matrix


The subcommand computes the Euclidean distance between cases,
containing two variables X and Y,
and returns a distance matrix.

Good luck, Frank.

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