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The SIMILARITY Procedure

Overview
Getting Started
Syntax
Functional Summary PROC SIMILARITY Statement BY Statement FCMPOPT Statement ID Statement INPUT Statement TARGET Statement
Details
Accumulation Missing Value Interpretation Zero Value Interpretation Time Series Transformation Time Series Differencing Time Series Missing Value Trimming Time Series Descriptive Statistics Input and Target Sequences Sliding Sequences Time Warping Sequence Normalization Sequence Scaling Similarity Measures User-Defined Functions and Subroutines Output Data Sets OUT= Data Set OUTMEASURE= Data Set OUTPATH= Data Set OUTSEQUENCE= Data Set OUTSUM= Data Set _STATUS_ Variable Values Printed Output ODS Table Names ODS Graphics
Examples
Accumulating Transactional Data into Time Series Data Similarity Analysis Sliding Similarity Analysis Searching for Historical Analogies Clustering Time Series
References

Similarity Measures

The working input sequence can be compared to the working target sequence to create a similarity.

For more information, see Leonard et al. (2008).

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