[MNT] Clustering module 1.0 deprecations (#2306)

* remove y from predict

* remove score

* remove score, add fit_predict

* remove score, add fit_predict

* removed score and n_clusters from base class

* fit_predict

* clustering deprecations

* notebook

* fixed predict proba

* fixed dnn tests

* fixed dnn tests

* fix notebook

* fixed

* removed deep learner n_clusters and assert labels_ exists

* cont

* fix dnns

* pipeline clusterer

* fix pipeline

* revert

* fix

* remove score from dnns

* remove score from notebooks

* remove score from remaining

* fix notebook

* fixed notebook

---------

Co-authored-by: Tony Bagnall <[email protected]>
Co-authored-by: Tony Bagnall <[email protected]>

Author: chrisholder

aeon/clustering/__init__.py

@@ -7,7 +7,6 @@
     "TimeSeriesCLARANS",
     "TimeSeriesKMeans",
     "TimeSeriesKShape",
-    "TimeSeriesKShapes",
     "TimeSeriesKernelKMeans",
     "ElasticSOM",
     "KSpectralCentroid",
@@ -21,7 +20,6 @@
 from aeon.clustering._k_medoids import TimeSeriesKMedoids
 from aeon.clustering._k_sc import KSpectralCentroid
 from aeon.clustering._k_shape import TimeSeriesKShape
-from aeon.clustering._k_shapes import TimeSeriesKShapes
 from aeon.clustering._kernel_k_means import TimeSeriesKernelKMeans
 from aeon.clustering.base import BaseClusterer
 from aeon.clustering.dummy import DummyClusterer

aeon/clustering/_k_means.py

@@ -169,20 +169,8 @@ def __init__(
         averaging_method: Union[str, Callable[[np.ndarray], np.ndarray]] = "ba",
         distance_params: Optional[dict] = None,
         average_params: Optional[dict] = None,
-        init_algorithm: Optional[Union[str, np.ndarray]] = None,
     ):
         self.init = init
-        self.init_algorithm = init_algorithm
-        if init_algorithm is not None:
-            import warnings
-
-            warnings.warn(
-                "The 'init_algorithm' parameter is deprecated and will be "
-                "removed in a future. Version Use 'init' instead.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            self.init = self.init_algorithm
         self.distance = distance
         self.n_init = n_init
         self.max_iter = max_iter