scipy.cluster.hierarchy.ClusterNode#

class scipy.cluster.hierarchy.ClusterNode(id, left=None, right=None, dist=0, count=1)[source]#

A tree node class for representing a cluster.

Leaf nodes correspond to original observations, while non-leaf nodes correspond to non-singleton clusters.

The to_tree function converts a matrix returned by the linkage function into an easy-to-use tree representation.

All parameter names are also attributes.

Parameters:
idint

The node id.

leftClusterNode instance, optional

The left child tree node.

rightClusterNode instance, optional

The right child tree node.

distfloat, optional

Distance for this cluster in the linkage matrix.

countint, optional

The number of samples in this cluster.

See also

to_tree

for converting a linkage matrix Z into a tree object.

Methods

get_count()

The number of leaf nodes (original observations) belonging to the cluster node nd.

get_id()

The identifier of the target node.

get_left()

Return a reference to the left child tree object.

get_right()

Return a reference to the right child tree object.

is_leaf()

Return True if the target node is a leaf.

pre_order([func])

Perform pre-order traversal without recursive function calls.