The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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DetailsAccumulationMissing Value InterpretationZero Value InterpretationTime Series TransformationTime Series DifferencingTime Series Missing Value TrimmingTime Series Descriptive StatisticsInput and Target SequencesSliding SequencesTime WarpingSequence NormalizationSequence ScalingSimilarity MeasuresUser-Defined Functions and SubroutinesOutput Data SetsOUT= Data SetOUTMEASURE= Data SetOUTPATH= Data SetOUTSEQUENCE= Data SetOUTSUM= Data Set_STATUS_ Variable ValuesPrinted OutputODS Table NamesODS Graphics
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Examples
- References
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
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Success
- 3000
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Accumulation failure
- 4000
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Missing value interpretation failure
- 6000
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Series is all missing
- 7000
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Transformation failure
- 8000
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Differencing failure
- 9000
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Unable to compute descriptive statistics
- 10000
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Normalization failure
- 11000
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Input contains imbedded missing values
- 12000
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Target contains imbedded missing values
- 13000
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Scaling failure
- 14000
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Measure failure
- 15000
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Path failure
- 16000
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Slide summarization failure