- Type Parameters:
 S- eachSequencein the tree is of type SC- each element of aSequenceis aCompoundof type C
Defines a clustering algorithm that converts a distance matrix into a tree.
- Author:
 - Mark Chapman
 
- 
Method Summary
Modifier and TypeMethodDescriptionfloat[][]Returns the distance matrix used in clustering.getRoot()Returns the root node of the tree resulting from this clustering algorithm. 
- 
Method Details
- 
getDistanceMatrix
float[][] getDistanceMatrix()Returns the distance matrix used in clustering. May be calculated from another original source.- Returns:
 - the distance matrix input to clustering
 
 - 
getRoot
GuideTreeNode<S,C> getRoot()Returns the root node of the tree resulting from this clustering algorithm.- Returns:
 - the resulting tree output from clustering
 
 
 -