package sklearn

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package sklearn
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Class type
type tag = [
  1. | `ClusterMixin
]
type t = [ `ClusterMixin | `Object ] Obj.t
val of_pyobject : Py.Object.t -> t
val to_pyobject : [> tag ] Obj.t -> Py.Object.t
val create : unit -> t

Mixin class for all cluster estimators in scikit-learn.

val fit_predict : ?y:Py.Object.t -> x:[> `ArrayLike ] Np.Obj.t -> [> tag ] Obj.t -> [> `ArrayLike ] Np.Obj.t

Perform clustering on X and returns cluster labels.

Parameters ---------- X : array-like of shape (n_samples, n_features) Input data.

y : Ignored Not used, present for API consistency by convention.

Returns ------- labels : ndarray of shape (n_samples,) Cluster labels.

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Stdlib.Format.formatter -> t -> unit

Pretty-print the object to a formatter.