The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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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
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Examples
- References
| Sequence Normalization |
The working (input or target) sequence can be normalized prior to further analysis. Let 
be the original sequence with mean 
and standard deviation 
, and let 
be the normalized sequence. The normalizations are defined as follows:
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Standard is the standard normalization
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Absolute is the absolute normalization
User-defined is a user-defined normalization created by the FCMP procedure.