The SIMILARITY Procedure
- Overview
- Getting Started
-
Syntax
-
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
-
Examples
- References
The OUTSEQUENCE= data set records the input and target sequences that are associated with each INPUT and TARGET statement variable. This data set records the input and target sequence values for each slide index and for each warp index that is associated with the slide index. The sequence values that are recorded are normalized and scaled based on the NORMALIZE= and SCALE= options. This data set also contains the similarity measure associated with the two sequences.
The OUTSEQUENCE= data set contains the variables specified in the BY statement in addition to the following variables:
- _INPUT_
-
input variable name
- _TARGET_
-
target variable name
- _TIMEID_
-
time ID values
- _SLIDE_
-
slide index
- _WARP_
-
warp index
- _INPSEQ_
-
input sequence values
- _TARSEQ_
-
target sequence values
- _SIM_
-
similarity measure
- _STATUS_
-
sequence status
The sorting of the OUTSEQUENCE= data set depends on the SORTNAMES and the ORDER= option.
The OUTSEQUENCE= data set is ordered by the variables _INPUT_, then _TARGET_, then _TIMEID_ when ORDER=INPUTTARGET or ORDER=INPUT. The OUTSEQUENCE= data set is ordered by the variables _TARGET_, then _INPUT_, then _TIMEID_ when ORDER=TARGETINPUT or ORDER=TARGET.
If there are a large number of slides or warps or both, this data set might be large.