- computes various measures of distance, dissimilarity, or similarity between the observations (rows) of a SAS data set
- proximity measures are stored as a lower
triangular matrix or a square matrix in an output data set that
can then be used as input to the CLUSTER, MDS, and MODECLUS procedures
- provides various nonparametric and parametric methods for standardizing variables
- proximity measures accept four levels of measurement:
nominal, ordinal, interval, and ratio
- obtain separate analyses on observations in groups
For further details see the SAS/STAT User's Guide:
The DISTANCE Procedure
( PDF | HTML )
Examples
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