#include <cClusterFunArea.h>
List of all members.
Public Member Functions |
| cClusterFunArea (const tValue dInMaxDistance) |
virtual | ~cClusterFunArea () |
virtual double | operator() (const pair< vector< tValue >, unsigned long > &dataClusterCenter, const pair< vector< tValue >, unsigned long > &dataPoint) const |
virtual | ~iClusterFunction () |
virtual double | operator() (const std::pair< vector< tValue >, unsigned long > &dataClusterCenter, const std::pair< vector< tValue >, unsigned long > &dataPoint) const =0 |
Detailed Description
template<class tValue>
class fib::algorithms::nCluster::cClusterFunArea< tValue >
Definition at line 56 of file cClusterFunArea.h.
Constructor & Destructor Documentation
constructor
- Parameters:
-
dInMaxDistance | The maximum distance of two points in an cluster. ( |
- See also:
- dMaxDistance)
Definition at line 71 of file cClusterFunArea.h.
Member Function Documentation
template<class tValue >
virtual double fib::algorithms::nCluster::cClusterFunArea< tValue >::operator() |
( |
const pair< vector< tValue >, unsigned long > & |
dataClusterCenter, |
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const pair< vector< tValue >, unsigned long > & |
dataPoint |
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) |
| const |
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inlinevirtual |
This operator should evalue a cluster value for two data points. The value should indicate how good it is to cluster the secound data point dataPoint to the first dataClusterCenter. An data point D can be in the cluster to an other data point C, if: The distance is lower an maximal distance (
- See also:
- dMaxDistance). If C has more elements than D.
- Parameters:
-
dataClusterCenter | the data point, to which to evalue the value that dataPoint is clustered to it |
dataPoint | the data point to cluster/subsume by dataClusterCenter |
- Returns:
- the cluster value for dataClusterCenter and dataPoint
Definition at line 96 of file cClusterFunArea.h.
Member Data Documentation
The maximum distance of two points in an cluster.
Definition at line 61 of file cClusterFunArea.h.
The documentation for this class was generated from the following file: