Find k cluster centers and/or assess the closest center and distance to it for each datum.
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virtual const char * | GetClassName () |
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virtual int | IsA (const char *type) |
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virtual void | PrintSelf (ostream &os, vtkIndent indent) |
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virtual void | SetK (int) |
| The number of cluster centers. More...
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virtual int | GetK () |
| The number of cluster centers. More...
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virtual void | SetMaxNumIterations (int) |
| The maximum number of iterations to perform when converging on cluster centers. More...
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virtual int | GetMaxNumIterations () |
| The maximum number of iterations to perform when converging on cluster centers. More...
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virtual void | SetTolerance (double) |
| The relative tolerance on cluster centers that will cause early termination of the algorithm. More...
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virtual double | GetTolerance () |
| The relative tolerance on cluster centers that will cause early termination of the algorithm. More...
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int | GetNumberOfAttributeArrays () |
| Return the number of columns available for the current value of AttributeMode. More...
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const char * | GetAttributeArrayName (int n) |
| Get the name of the n-th array ffor the current value of AttributeMode. More...
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int | GetAttributeArrayStatus (const char *arrName) |
| Get the status of the specified array (i.e., whether or not it is a column of interest). More...
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vtkInformationIntegerKey * | MULTIPLE_MODELS () |
| A key used to mark the output model data object (output port 0) when it is a multiblock of models (any of which may be multiblock dataset themselves) as opposed to a multiblock dataset containing a single model. More...
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virtual int | GetAttributeMode () |
| Set/get the type of field attribute (cell, point, field) More...
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virtual void | SetAttributeMode (int) |
| Set/get the type of field attribute (cell, point, field) More...
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void | EnableAttributeArray (const char *arrName) |
| An alternate interface for preparing a selection of arrays in ParaView. More...
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void | ClearAttributeArrays () |
| An alternate interface for preparing a selection of arrays in ParaView. More...
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virtual void | SetTrainingFraction (double) |
| Set/get the amount of data to be used for training. More...
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virtual double | GetTrainingFraction () |
| Set/get the amount of data to be used for training. More...
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virtual void | SetTask (int) |
| Set/get whether this filter should create a model of the input or assess the input or both. More...
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virtual int | GetTask () |
| Set/get whether this filter should create a model of the input or assess the input or both. More...
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| vtkPSciVizKMeans () |
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virtual | ~vtkPSciVizKMeans () |
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virtual int | LearnAndDerive (vtkMultiBlockDataSet *model, vtkTable *inData) |
| Method subclasses must override to calculate a full model from the given input data. More...
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virtual int | AssessData (vtkTable *observations, vtkDataObject *dataset, vtkMultiBlockDataSet *model) |
| Method subclasses must override to assess an input table given a model of the proper type. More...
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| vtkSciVizStatistics () |
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virtual | ~vtkSciVizStatistics () |
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virtual int | FillInputPortInformation (int port, vtkInformation *info) |
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virtual int | FillOutputPortInformation (int port, vtkInformation *info) |
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virtual int | ProcessRequest (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestDataObject (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestData (vtkInformation *request, vtkInformationVector **input, vtkInformationVector *output) |
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virtual int | RequestData (vtkCompositeDataSet *compDataOu, vtkCompositeDataSet *compModelOu, vtkCompositeDataSet *compDataIn, vtkCompositeDataSet *compModelIn, vtkDataObject *singleModel) |
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virtual int | RequestData (vtkDataObject *observationsOut, vtkDataObject *modelOut, vtkDataObject *observationsIn, vtkDataObject *modelIn) |
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virtual int | PrepareFullDataTable (vtkTable *table, vtkFieldData *dataAttrIn) |
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virtual int | PrepareTrainingTable (vtkTable *trainingTable, vtkTable *fullDataTable, vtkIdType numObservations) |
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virtual vtkIdType | GetNumberOfObservationsForTraining (vtkTable *observations) |
| Subclasses may (but need not) override this function to guarantee that some minimum number of observations are included in the training data. More...
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Find k cluster centers and/or assess the closest center and distance to it for each datum.
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.
This filter iteratively computes the center of k clusters in a space whose coordinates are specified by the arrays you select. The clusters are chosen as local minima of the sum of square Euclidean distances from each point to its nearest cluster center. The model is then a set of cluster centers. Data is assessed by assigning a cluster center and distance to the cluster to each point in the input data set.
Definition at line 40 of file vtkPSciVizKMeans.h.
virtual int vtkPSciVizKMeans::AssessData |
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vtkTable * |
observations, |
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vtkDataObject * |
dataset, |
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vtkMultiBlockDataSet * |
model |
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) |
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protectedvirtual |
Method subclasses must override to assess an input table given a model of the proper type.
The dataset parameter contains a shallow copy of input port 0 and should be modified to include the assessment.
Adding new arrays to point/cell/vertex/edge data should not pose a problem, but any alterations to the dataset itself will probably require that you create a deep copy before modification.
- Parameters
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observations | - a table containing the field data of the dataset converted to a table |
dataset | - a shallow copy of the input dataset that should be altered to include an assessment of the output. |
model | - the statistical model with which to assess the observations. |
Implements vtkSciVizStatistics.