Hierarchical clustering using feature correlation.
Build a bifurcating tree that represents a hierarchical clustering of
features. The hiearchical clustering uses Ward hierarchical clustering
based on the degree of proportionality between features.
Parameters
- table : FeatureTable[Frequency]
- The feature table containing the samples in which the columns will be
clustered.
- pseudocount : Float, optional
- The value to add to zero counts in the feature table.
Returns
- clustering : Hierarchy
- A hierarchy of feature identifiers where each tip corresponds to the
feature identifiers in the table. This tree can contain tip ids that
are not present in the table, but all feature ids in the table must be
present in this tree.