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Parameters

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

id : int

The node id.

left : ClusterNode instance, optional

The left child tree node.

right : ClusterNode instance, optional

The right child tree node.

dist : float, optional

Distance for this cluster in the linkage matrix.

count : int, optional

The number of samples in this cluster.

A tree node class for representing a cluster.

See Also

to_tree

for converting a linkage matrix
Z
into a tree object.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

scipy.cluster.hierarchy:to_treehierarchy:to_tree

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/cluster/hierarchy.py#1084
type: <class 'type'>
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