class_docstr: A single linkage format dendrogram tree, with plotting functionality
  and networkX support.
  
  Parameters
  ----------
  linkage : ndarray (n_samples, 4)
      The numpy array that holds the tree structure. As output by
      scipy.cluster.hierarchy, hdbscan, of fastcluster.
class_docstr_tok: ["A","single","linkage","format","dendrogram","tree",",","with","plotting","functionality","and","networkX","support",".","Parameters","--","--","--","--","--","linkage",":","ndarray","(","n_samples",",","4",")","The","numpy","array","that","holds","the","tree","structure",".","As","output","by","scipy.cluster.hierarchy",",","hdbscan",",","of","fastcluster","."]
code: def __init__(self, linkage):
      self._linkage = linkage
  
imports: import numpy
  from scipy.cluster.hierarchy import dendrogram
  from sklearn.manifold import TSNE
  from sklearn.decomposition import PCA
  from sklearn.metrics import pairwise_distances
  from warnings import warn
  from ._hdbscan_tree import compute_stability, labelling_at_cut, recurse_leaf_dfs
label_desc: Use image node_id 1 to create a new SingleLinkageTree object from inherited base classes: object with example: obj = SingleLinkageTree(linkage)