OpenMS  3.0.0
ClusterFunctor.h
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31 // $Maintainer: Mathias Walzer $
32 // $Authors: $
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34 //
35 #pragma once
36 
40 
41 #include <vector>
42 
43 namespace OpenMS
44 {
45 
53  class OPENMS_DLLAPI ClusterFunctor
54  {
55 
56 public:
57 
64  class OPENMS_DLLAPI InsufficientInput :
66  {
67 public:
68  InsufficientInput(const char * file, int line, const char * function, const char * message = "not enough data points to cluster anything") throw();
69  ~InsufficientInput() throw() override;
70  };
71 
72 
75 
77  ClusterFunctor(const ClusterFunctor & source);
78 
80  virtual ~ClusterFunctor();
81 
83  ClusterFunctor & operator=(const ClusterFunctor & source);
84 
97  virtual void operator()(DistanceMatrix<float> & original_distance, std::vector<BinaryTreeNode> & cluster_tree, const float threshold = 1) const = 0;
98 
100  static void registerChildren();
101 
102  };
103 
104 }
DistanceMatrix.h
ClusterAnalyzer.h
OpenMS
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
Exception.h
OpenMS::Exception::BaseException
Exception base class.
Definition: Exception.h:89
OpenMS::DistanceMatrix
A two-dimensional distance matrix, similar to OpenMS::Matrix.
Definition: DistanceMatrix.h:67
OpenMS::ClusterFunctor
Base class for cluster functors.
Definition: ClusterFunctor.h:53
OpenMS::ClusterFunctor::InsufficientInput
Exception thrown if not enough data (<2) is used.
Definition: ClusterFunctor.h:64