MDS map: proximities and Euclidean distances

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MDS map: proximities and Euclidean distances

Busing, Frank
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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Re: MDS map: proximities and Euclidean distances

Faris Siraf
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.

**********************************************************************
This email and any files transmitted with it are confidential and
intended solely for the use of the individual or entity to whom they
are addressed. If you have received this email in error please notify
the system manager.
**********************************************************************

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