DISTANCE Procedure


9.1  

The new DISTANCE procedure computes various measures of distance, dissimilarity, or similarity between the observations (rows) of a SAS data set. These proximity measures are stored as a lower triangular matrix or a square matrix in an output data set (depending on the SHAPE= option) that can then be used as input to the CLUSTER, MDS, and MODECLUS procedures. The input data set may contain numeric or character variables, or both, depending on which proximity measure is used. PROC DISTANCE also provides various nonparametric and parametric methods for standardizing variables . Distance matrices are used frequently in data mining, genomics, marketing, financial analysis, management science, education, chemistry , psychology, biology, and various other fields.




SAS.STAT 9.1 Users Guide (Vol. 3)
SAS/STAT 9.1, Users Guide, Volume 3 (volume 3 ONLY)
ISBN: B0042UQTBS
EAN: N/A
Year: 2004
Pages: 105

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