bsxplorer.Clusters.ClusterMany.cut_tree

ClusterMany.cut_tree(dist_method='euclidean', clust_method='average', cut_height_q=0.99, **kwargs)

KMeans clustering on sample regions. Clustering is being made with dynamicTreeCut.cutreeHybrid.

Parameters:

• dist_method – Distances calculation metric

• clust_method – Hierarchical clustering method

• cut_height_q – Quantile of leaves height to be cut.

• kwargs – See dynamicTreeCut.

Return type:

ClusterPlot