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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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Y( x, y)<br />

ad – bc<br />

= -------------------------ad<br />

+ bc<br />

CLUSTER 235<br />

Q[(p[,np])] Yule’s Q (similarity). This is the 2× 2 version of Goodman and<br />

Kruskal’s ordinal measure gamma. Like Yule’s Y, Q is a function of<br />

the cross ratio for a 2 × 2 table and has a range of −1 to +1.<br />

Q( xy , )<br />

ad – bc<br />

= ----------------ad<br />

+ bc<br />

Other Binary Measures. The remaining binary measures available in CLUSTER are either binary<br />

equivalents of association measures for continuous variables or measures of special properties<br />

of the relationship between items.<br />

OCHIAI[(p[,np])] Ochiai similarity measure. This is the binary form of the cosine. It has<br />

a range of 0 to 1.<br />

OCHIAI( xy , )<br />

=<br />

a a-----------<br />

⋅ ----------a+<br />

b a+ c<br />

SS5[(p[,np])] Sokal and Sneath similarity measure 5. The range is 0 to 1.<br />

SS5( x, y)<br />

ad<br />

= ------------------------------------------------------------------------<br />

( a+ b)<br />

( a + c)<br />

( b+ d)<br />

( c + d)<br />

PHI[(p[,np])] Fourfold point correlation (similarity). This is the binary form of the<br />

Pearson product-moment correlation coefficient.<br />

PHI( x, y)<br />

ad – bc<br />

= ------------------------------------------------------------------------<br />

( a + b)<br />

( a + c)<br />

( b+ d)<br />

( c+ d)<br />

BEUCLID[(p[,np])] Binary Euclidean distance. This is a distance measure. Its minimum<br />

value is 0, and it has no upper limit.<br />

BEUCLID( x, y)<br />

= b + c<br />

BSEUCLID[(p[,np])] Binary squared Euclidean distance. This is a distance measure. Its<br />

minimum value is 0, and it has no upper limit.<br />

BSEUCLID( x, y)<br />

= b+ c<br />

SIZE[(p[,np])] Size difference. This is a dissimilarity measure with a minimum value<br />

of 0 and no upper limit.<br />

SIZE( x, y)<br />

( b– c)<br />

2<br />

( a+ b+ c + d)<br />

2<br />

=<br />

-------------------------------------<br />

PATTERN[(p[,np])] Pattern difference. This is a dissimilarity measure. The range is 0 to 1.

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