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
After the input and target working series are formed, they can be treated as two ordered sequences. Given an input time sequence,
, for 
to 
, where 
is the input sequence index, and a target time sequence, 
, for 
to 
, where 
is the target sequence index, these sequences are analyzed for similarity.