NPclassify Class Reference

Collaboration diagram for NPclassify:
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List of all members.

Public Member Functions

 NPclassify (readConfig &settings, readConfig &polySet, bool commandLineSettings=false)
 create object with readConfig as defaults
void inputCommandLineSettings (double _distance, double _children, double Idistance, double Ichildren, long _hardClassSize, long _hardLinkSize, double _polyDensObjectCut1, double _polyDensObjectCut2, double _polyDensObjectCut3)
 input command line settings for some variables insted of using .conf
void addPoint (std::vector< long > point)
 add a point to the space
void addSpace (std::vector< std::vector< double > > &space, long sSize=0)
 add whole space (concatinates if data is there)
void echoSpace ()
 echo the space you are working in
void resetSpace ()
 reset the dataset to empty (dose not resize vectors)
void classifySpaceNew ()
 classify space based upon rules given, for the first time
void classifySpaceKmeans (unsigned int K)
 classify space using K-Means
void classifySpacePartial ()
 classify space in subsequent iterations
long getStemNumber ()
 return how many stems there are (how many classes)
double getMaxDensity ()
 return the max density value
bool isLowDensity (long item)
 return if this point is a low density point
bool isStem (long item)
 return if this item is a stem
std::vector< double > getDensity ()
 return density weight map (linear)
std::vector< long > getStems ()
 Returns a vector of all class parents.
long getClassSize (long _Class)
 Return how many points/vectors are in class n (1... n).
long getMinClassSize ()
 return what is set as the minimum class size
std::vector< long > getClass (long _Class)
 Return class n as a vector (Set of all points/vectors in this class).
long getClass (long _Class, long item)
 Return item n from class m.
double getFeature (long m_feature_index, long n_vector_index)
 Return feature m of vector n.
std::vector< long > getParents ()
 returns parents
std::vector< std::vector< long > > getChildren ()
 Returns a vector of all decendants (children, grandchildren) or all nodes.
std::vector< std::vector< long > > getBoundingBoxes ()
 calculate and return simple bounding boxes for classes
void metaClassify (int objects)
 analyze classification stratagy. create meta classifier

Public Attributes

int doLinkMap
int doDensityMap
int doClassMap
int usePolySet

Detailed Description

Definition at line 45 of file NPclassify.H.


Constructor & Destructor Documentation

NPclassify::NPclassify ( readConfig settings,
readConfig polySet,
bool  commandLineSettings = false 
)

create object with readConfig as defaults

Definition at line 66 of file NPclassify.C.

References readConfig::getItemValueF(), and resetSpace().


Member Function Documentation

void NPclassify::addPoint ( std::vector< long >  point  ) 

add a point to the space

Definition at line 128 of file NPclassify.C.

void NPclassify::addSpace ( std::vector< std::vector< double > > &  space,
long  sSize = 0 
)

add whole space (concatinates if data is there)

Parameters:
space This is a set of feature vectors as a vector of vectors
sSize This is how many elements you are adding leave blank if \ the number of elements equals the vector size

Definition at line 133 of file NPclassify.C.

void NPclassify::classifySpaceKmeans ( unsigned int  K  ) 

classify space using K-Means

void NPclassify::classifySpaceNew (  ) 

classify space based upon rules given, for the first time

Definition at line 168 of file NPclassify.C.

References Timer::reset().

void NPclassify::classifySpacePartial (  ) 

classify space in subsequent iterations

Definition at line 211 of file NPclassify.C.

void NPclassify::echoSpace (  ) 

echo the space you are working in

Definition at line 149 of file NPclassify.C.

std::vector< std::vector< long > > NPclassify::getBoundingBoxes (  ) 

calculate and return simple bounding boxes for classes

Definition at line 286 of file NPclassify.C.

std::vector< std::vector< long > > NPclassify::getChildren (  ) 

Returns a vector of all decendants (children, grandchildren) or all nodes.

Definition at line 281 of file NPclassify.C.

long NPclassify::getClass ( long  _Class,
long  item 
)

Return item n from class m.

Definition at line 261 of file NPclassify.C.

References ASSERT.

std::vector< long > NPclassify::getClass ( long  _Class  ) 

Return class n as a vector (Set of all points/vectors in this class).

Definition at line 255 of file NPclassify.C.

References ASSERT.

long NPclassify::getClassSize ( long  _Class  ) 

Return how many points/vectors are in class n (1... n).

Definition at line 244 of file NPclassify.C.

References ASSERT.

std::vector< double > NPclassify::getDensity (  ) 

return density weight map (linear)

Definition at line 234 of file NPclassify.C.

double NPclassify::getFeature ( long  m_feature_index,
long  n_vector_index 
)

Return feature m of vector n.

Definition at line 268 of file NPclassify.C.

References ASSERT.

double NPclassify::getMaxDensity (  ) 

return the max density value

Definition at line 219 of file NPclassify.C.

long NPclassify::getMinClassSize (  ) 

return what is set as the minimum class size

Definition at line 250 of file NPclassify.C.

std::vector< long > NPclassify::getParents (  ) 

returns parents

Definition at line 276 of file NPclassify.C.

long NPclassify::getStemNumber (  ) 

return how many stems there are (how many classes)

Definition at line 214 of file NPclassify.C.

std::vector< long > NPclassify::getStems (  ) 

Returns a vector of all class parents.

Definition at line 239 of file NPclassify.C.

void NPclassify::inputCommandLineSettings ( double  _distance,
double  _children,
double  Idistance,
double  Ichildren,
long  _hardClassSize,
long  _hardLinkSize,
double  _polyDensObjectCut1,
double  _polyDensObjectCut2,
double  _polyDensObjectCut3 
)

input command line settings for some variables insted of using .conf

Definition at line 110 of file NPclassify.C.

bool NPclassify::isLowDensity ( long  item  ) 

return if this point is a low density point

Definition at line 224 of file NPclassify.C.

bool NPclassify::isStem ( long  item  ) 

return if this item is a stem

Definition at line 229 of file NPclassify.C.

void NPclassify::metaClassify ( int  objects  ) 

analyze classification stratagy. create meta classifier

Definition at line 324 of file NPclassify.C.

void NPclassify::resetSpace (  ) 

reset the dataset to empty (dose not resize vectors)

Definition at line 160 of file NPclassify.C.

Referenced by NPclassify().


The documentation for this class was generated from the following files:
Generated on Sun May 8 08:23:32 2011 for iLab Neuromorphic Vision Toolkit by  doxygen 1.6.3