class_docstr: K-means
  
  Performs k-means clustering on an H2O dataset.
class_docstr_tok: ["K-means","Performs","k-means","clustering","on","an","H2O","dataset","."]
code: def init(self, init):
      assert_is_type(
          init, None, Enum("random", "plus_plus", "furthest", "user")
      )
      self._parms["init"] = init
  
imports: from h2o.estimators.estimator_base import H2OEstimator
  from h2o.exceptions import H2OValueError
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type, Enum, numeric
label_desc: Use image node_id 37 for calling the H2OKMeansEstimator obj's underlying member method code with example usage: obj.init(init) without return types