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
| _STATUS_ Variable Values |
The _STATUS_ variable contains a code that specifies whether the similarity analysis has been successful or not. The _STATUS_ variable can take the following values:
- 0
Success
- 3000
Accumulation failure
- 4000
Missing value interpretation failure
- 6000
Series is all missing
- 7000
Transformation failure
- 8000
Differencing failure
- 9000
Unable to compute descriptive statistics
- 10000
Normalization failure
- 11000
Input contains imbedded missing values
- 12000
Target contains imbedded missing values
- 13000
Scaling failure
- 14000
Measure failure
- 15000
Path failure
- 16000
Slide summarization failure