PUBLIC

ClassifyAverageNearestNeighbourBodyC::ClassifyAverageNearestNeighbourBodyC(const DataSet2C &,UIntT,const DistanceC &) ClassifyAverageNearestNeighbourBodyC::Classify(const VectorC &) const ClassifyAverageNearestNeighbourBodyC::Confidence(const VectorC &) const ClassifyKNearestNeighbourBodyC::Search(const VectorC &,UIntT) const ClassifyKNearestNeighbourBodyC::Classify(const VectorC &) const ClassifyKNearestNeighbourBodyC::Confidence(const VectorC &) const ClassifyKNearestNeighbourBodyC::K(void) const ClassifyVectorBodyC::Classify(const VectorC &) const ClassifyVectorBodyC::Confidence(const VectorC &) const ClassifyVectorBodyC::Labels(void) const RCBodyVC::Save(ostream &) const RCBodyVC::Save(BinOStreamC &) const RCBodyVC::Copy(void) const RCBodyVC::DeepCopy(UIntT) const RCBodyC::References(void) const RCBodyC::Copy(void) const RCBodyC::DeepCopy(UIntT) const RCBodyC::IncRefCounter(void) RCBodyC::DecRefCounter(void)

public ClassifyKNearestNeighbourBodyC

ClassifyAverageNearestNeighbourBodyC(const DataSet2C<SampleVectorC,SampleLabelC> & data,UIntT defaultK = 5,const DistanceC & xdistMetric = DistanceSqrEuclideanC ())

Default constructor.

UIntT Classify(const VectorC & data) const

Classify vector 'data' return the most likely label.

VectorC Confidence(const VectorC & data) const

Estimate the confidence for each label.
The meaning of the confidence assigned to each label depends on the classifier used. The higher the confidence the more likely it is the label is correct.

SArray1dC<Tuple2C<UIntT,RealT>> Search(const VectorC & ex,UIntT k) const

Search for the the 'k' nearest neighbours.
Returns the label and the distance for the 'k' nearest neighbours.

UIntT Classify(const VectorC & data) const

Classify vector 'data' return the most likely label.

VectorC Confidence(const VectorC & data) const

Estimate the confidence for each label.
The meaning of the confidence assigned to each label depends on the classifier used. The higher the confidence the more likely it is the label is correct.

UIntT K() const

Number of samples to use when classifying.

UIntT Classify(const VectorC & data) const

Classify vector 'data' return the most likely label.

VectorC Confidence(const VectorC & data) const

Estimate the confidence for each label.
The meaning of the confidence assigned to each label depends on the classifier used. The higher the confidence the more likely it is the label is correct.

UIntT Labels() const

Returns the maximum number of output labels.

bool Save(ostream & out) const

Save to stream 'out'.

bool Save(BinOStreamC & out) const

Save to binary stream 'out'.

RCBodyVC & Copy() const

Make copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

RCBodyC & DeepCopy(UIntT levels = ((UIntT))) const

Make a deep copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

UIntT References() const

Access count of handles open to this object.

RCBodyC & Copy() const

Make copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

RCBodyC & DeepCopy(UIntT levels = ((UIntT))) const

Make a deep copy of body.
This should be provided in derived classes. this funtion will issue an assertion failure if called.

void IncRefCounter()

Increment reference counter.

bool DecRefCounter()

Decrement reference counter.