class_docstr: A clustering model.
docstr: Update the model with a set of features `x`.
  
  Parameters
  ----------
  x
      A dictionary of features.
docstr_tok: ["Update","the","model","with","a","set","of","features","`","x","`",".","Parameters","--","--","--","--","--","x","A","dictionary","of","features","."]
code: def learn_one(self, x: dict) -> Clusterer:
      """Update the model with a set of features `x`.
  
      Parameters
      ----------
      x
          A dictionary of features.
  
      """
  
file_path: river/river/base/clusterer.py
imports: from __future__ import annotations
  import abc
  from .None import estimator
label_desc: Use image node_id 2 for calling the Clusterer obj's underlying member method code with example usage: obj.learn_one(x) without return types