The SIMILARITY Procedure
- Overview
- Getting Started
-
Syntax
-
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
- References
| Time Warping |
Time warping allows for the comparison between target and input sequences of differing lengths by compressing or expanding the input sequence with respect the target sequence while respecting the order of the sequence elements.
For more information, see Leonard, Elsheimer, and Sloan (2008).