PUBLIC

ClassifyKNearestNeighbourC::ClassifyKNearestNeighbourC(const DataSet2C &,UIntT,const DistanceC &) ClassifyKNearestNeighbourC::ClassifyKNearestNeighbourC(ClassifyKNearestNeighbourBodyC &) ClassifyKNearestNeighbourC::Body(void) ClassifyKNearestNeighbourC::Body(void) const ClassifyKNearestNeighbourC::Search(const VectorC &,UIntT) ClassifyKNearestNeighbourC::K(void) const ClassifyVectorC::Body(void) ClassifyVectorC::Body(void) const ClassifyVectorC::Classify(const VectorC &) const ClassifyVectorC::Confidence(const VectorC &) const ClassifyVectorC::Labels(void) const RCHandleC::operator =(const RCHandleC &) RCHandleC::DeepCopy(UIntT) const RCHandleC::operator ==(const RCHandleC &) const RCHandleC::operator !=(const RCHandleC &) const RCHandleC::Hash(void) const RCHandleC::IsValid(void) const RCHandleC::Invalidate(void) RCHandleC::IsHandleType(const DT &) const RCHandleC::CheckHandleType(const DT &) const RCHandleC::Body(void) RCHandleC::Body(void) const RCHandleC::References(void) const RCHandleC::operator <<(ostream &,const RCHandleC &) RCHandleC::operator >>(istream &,RCHandleC &)

public ClassifyVectorC

ClassifyAverageNearestNeighbourC

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

Constructor.

ClassifyKNearestNeighbourC(ClassifyKNearestNeighbourBodyC & bod)

Body constructor.

ClassifyKNearestNeighbourBodyC & Body()

Access body.

const ClassifyKNearestNeighbourBodyC & Body() const

Access body.

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

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

UIntT K() const

Number of samples to use when classifying.

ClassifyVectorBodyC & Body()

Access body.

const ClassifyVectorBodyC & Body() const

Access body.

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.

const RCHandleC<ClassifyVectorBodyC> & operator =(const RCHandleC<ClassifyVectorBodyC> & oth)

Assign handle.

RCHandleC<ClassifyVectorBodyC> DeepCopy(UIntT levels = ((UIntT))) const

Do a deep copy of the object.

bool operator ==(const RCHandleC<ClassifyVectorBodyC> & oth) const

Are handles to the same object ?

bool operator !=(const RCHandleC<ClassifyVectorBodyC> & oth) const

Are handles to different objects ?

UIntT Hash() const

Default hash function.
This hashes on the address of the body.

bool IsValid() const

Test if this is a valid handle.

void Invalidate()

Invalidate this handle.
Unattaches the body from the handle.

bool IsHandleType(const DT &) const

Is handle of given type ?

void CheckHandleType(const DT & dummy) const

Check handle type. Throw an expception if not.

ClassifyVectorBodyC & Body()

Access body of object.

const ClassifyVectorBodyC & Body() const

Constant access to body of object.

UIntT References() const

Find the number of references to the body of this object.

ostream & operator <<(ostream & strm,const RCHandleC<ClassifyVectorBodyC> & obj)

istream & operator >>(istream & strm,RCHandleC<ClassifyVectorBodyC> & obj)