KMeanCluster Class Reference
[Classification classes]
#include <KMeanCluster.h>
Collaboration diagram for KMeanCluster:
Public Types | |
| typedef std::list< Vector3d > | VectorList |
| a list holding vectors to be clustered | |
Public Member Functions | |
| KMeanCluster (int nCentres) | |
| void | train (VectorList &v) |
| int | clusterize (Vector3d &v) |
| VectorList::iterator | begin () |
| VectorList::iterator | end () |
| const size_t | getClusterCount () const |
| void | setCentres (VectorList ¢res) |
Detailed Description
Class Providing KMean clusteringDefinition at line 10 of file KMeanCluster.h.
Member Typedef Documentation
| typedef std::list<Vector3d> KMeanCluster::VectorList |
Constructor & Destructor Documentation
| KMeanCluster::KMeanCluster | ( | int | nCentres | ) |
Member Function Documentation
| VectorList::iterator KMeanCluster::begin | ( | ) | [inline] |
serialisation
- Returns:
- iterator to the beginning of the centre list
Definition at line 36 of file KMeanCluster.h.
| int KMeanCluster::clusterize | ( | Vector3d & | v | ) |
Assign a cluster-id to a given vector
- Parameters:
-
v Vector to be classified
- Returns:
- cluster-id for given vector
Definition at line 54 of file KMeanCluster.cpp.
| VectorList::iterator KMeanCluster::end | ( | ) | [inline] |
serialisation
- Returns:
- iterator to the end of the centre list
Definition at line 42 of file KMeanCluster.h.
| const size_t KMeanCluster::getClusterCount | ( | ) | const [inline] |
| void KMeanCluster::setCentres | ( | VectorList & | centres | ) | [inline] |
| void KMeanCluster::train | ( | VectorList & | v | ) |
Adjust the cluster centes
- Parameters:
-
v a list with training data
Definition at line 11 of file KMeanCluster.cpp.
The documentation for this class was generated from the following files:
- classification/KMeanCluster.h
- classification/KMeanCluster.cpp
