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ClusterAnalyzer.h
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34 
35 #ifndef OPENMS_COMPARISON_CLUSTERING_CLUSTERANALYZER_H
36 #define OPENMS_COMPARISON_CLUSTERING_CLUSTERANALYZER_H
37 
40 
41 #include <vector>
42 
43 namespace OpenMS
44 {
45  class String;
46 
52  class OPENMS_DLLAPI ClusterAnalyzer
53  {
54 public:
57 
59  ClusterAnalyzer(const ClusterAnalyzer & source);
60 
62  virtual ~ClusterAnalyzer();
63 
74  std::vector<float> averageSilhouetteWidth(const std::vector<BinaryTreeNode> & tree, const DistanceMatrix<float> & original);
75 
84  std::vector<float> dunnIndices(const std::vector<BinaryTreeNode> & tree, const DistanceMatrix<float> & original, const bool tree_from_singlelinkage = false);
85 
93  std::vector<float> cohesion(const std::vector<std::vector<Size> > & clusters, const DistanceMatrix<float> & original);
94 
104  float averagePopulationAberration(Size cluster_quantity, std::vector<BinaryTreeNode> & tree);
105 
121  void cut(const Size cluster_quantity, const std::vector<BinaryTreeNode> & tree, std::vector<std::vector<Size> > & clusters);
122 
134  void cut(const Size cluster_quantity, const std::vector<BinaryTreeNode> & tree, std::vector<std::vector<BinaryTreeNode> > & subtrees);
135 
144  String newickTree(const std::vector<BinaryTreeNode> & tree, const bool include_distance = false);
145 
146 private:
148  ClusterAnalyzer & operator=(const ClusterAnalyzer & source);
149 
150  };
152  bool compareBinaryTreeNode(const BinaryTreeNode & x, const BinaryTreeNode & y);
153 
154 }
155 #endif //OPENMS_COMPARISON_CLUSTERING_CLUSTERANALYZER_H
A more convenient string class.
Definition: String.h:57
Bundles analyzing tools for a clustering (given as sequence of BinaryTreeNode&#39;s)
Definition: ClusterAnalyzer.h:52
A two-dimensional distance matrix, similar to OpenMS::Matrix.
Definition: DistanceMatrix.h:68
bool compareBinaryTreeNode(const BinaryTreeNode &x, const BinaryTreeNode &y)
returns the value of (x.distance < y.distance) for use with sort
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:128
Elements of a binary tree used to represent a hierarchical clustering process.
Definition: BinaryTreeNode.h:49

OpenMS / TOPP release 2.3.0 Documentation generated on Tue Jan 9 2018 18:21:59 using doxygen 1.8.13