| Package | Description |
|---|---|
| org.gcube.dataanalysis.ecoengine.signals.ssa |
| Modifier and Type | Method and Description |
|---|---|
static SSADataset |
SSAWorkflow.applyCompleteWorkflow(List<Double> timeseries,
int analysisWindowLength,
float eigenValuesPercentageThreshold,
int nPointsToForecast,
boolean reportReconstructedSignal) |
| Modifier and Type | Method and Description |
|---|---|
static void |
SingularSpectrumAnalysis.averagedCovariance(SSADataset data)
the diagonal of the covariance matrix averaging * (on the side diagonal)
|
static void |
SingularSpectrumAnalysis.diagonalAveraging(SSADataset data)
restoration of the time series (the stage diagonal averaging)
|
static void |
SingularSpectrumAnalysis.forecast(SSADataset data,
int nPointsToForecast,
boolean reconstructedSignal)
author Gianpaolo Coro
|
static void |
SingularSpectrumAnalysis.functionEigenValue(SSADataset data)
formation of the functions eigenvalues
|
static void |
SingularSpectrumAnalysis.grouping(List<SSAGroupList> model,
SSADataset data)
restoration of the time series (group stage)
a JList model @param (group list)
|
static void |
SingularSpectrumAnalysis.inclosure(SSADataset data)
translation of the original time series into a sequence of multidimensional
vectors
|
static void |
SingularSpectrumAnalysis.setMovingAverage(SSADataset data)
formation of moving averages
|
static void |
SingularSpectrumAnalysis.singularDecomposition(SSADataset data)
singular value decomposition
|
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