101 #ifndef vtkKMeansStatistics_h 102 #define vtkKMeansStatistics_h 209 virtual void UpdateClusterCenters(
vtkTable* newClusterElements,
229 int InitializeDataAndClusterCenters(
vtkTable* inParameters,
243 virtual void CreateInitialClusterCenters(
vtkIdType numToAllocate,
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
virtual void Assess(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
static vtkTableAlgorithm * New()
void PrintSelf(ostream &os, vtkIndent indent)
maintain an unordered list of data objects
#define vtkGetMacro(name, type)
vtkKMeansDistanceFunctor * DistanceFunctor
int DefaultNumberOfClusters
a vtkAbstractArray subclass for strings
dynamic, self-adjusting array of vtkIdType
#define vtkSetStringMacro(name)
#define vtkTypeMacro(thisClass, superclass)
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)
A atomic type representing the union of many types.
dynamic, self-adjusting array of double
Base class for statistics algorithms.
dynamic, self-adjusting array of int
a simple class to control print indentation
A class for KMeans clustering.
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
#define vtkGetStringMacro(name)
#define vtkGetObjectMacro(name, type)
virtual void Derive(vtkMultiBlockDataSet *)=0
A table, which contains similar-typed columns of data.
virtual bool SetParameter(const char *parameter, int index, vtkVariant value)
Composite dataset that organizes datasets into blocks.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
general representation of visualization data
measure distance from k-means cluster centers
#define vtkSetMacro(name, type)