`FutureWarning`s in the documentation

### Describe the issue linked to the documentation

Some `FutureWarning`s are present in the dev documentation and need to be fixed.
Here is a list:

 - [x] [bicluster/plot_bicluster_newsgroups.html](https://scikit-learn.org/dev/auto_examples/bicluster/plot_bicluster_newsgroups.html)
 - [x] [cluster/plot_bisect_kmeans.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_bisect_kmeans.html) #24891
 - [x] [decomposition/plot_ica_blind_source_separation.html](https://scikit-learn.org/dev/auto_examples/decomposition/plot_ica_blind_source_separation.html) #24908
 - [x] [ensemble/plot_gradient_boosting_categorical.html](https://scikit-learn.org/dev/auto_examples/ensemble/plot_gradient_boosting_categorical.html) #24902
 - [x] [cluster/plot_color_quantization.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_color_quantization.html) #24893
 - [x] [ensemble/plot_stack_predictors.html](https://scikit-learn.org/dev/auto_examples/ensemble/plot_stack_predictors.html) #24918
 - [x] [inspection/plot_linear_model_coefficient_interpretation.html](https://scikit-learn.org/dev/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html) #24920
 - [x] [~~cross_decomposition/plot_compare_cross_decomposition.html~~](https://scikit-learn.org/dev/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html)
 - [x] [cluster/plot_cluster_comparison.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_cluster_comparison.html) #24927
 - [x] [model_selection/plot_successive_halving_heatmap.html](https://scikit-learn.org/dev/auto_examples/model_selection/plot_successive_halving_heatmap.html) #24968
 - [x] [manifold/plot_compare_methods.html](https://scikit-learn.org/dev/auto_examples/manifold/plot_compare_methods.html) #24909
 - [x] [cluster/plot_kmeans_assumptions.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_kmeans_assumptions.html) #24928
 - [x] [decomposition/plot_faces_decomposition.html](https://scikit-learn.org/dev/auto_examples/decomposition/plot_faces_decomposition.html) #24936
 - [x] [ensemble/plot_gradient_boosting_oob.html](https://scikit-learn.org/dev/auto_examples/ensemble/plot_gradient_boosting_oob.html) #24948
 - [x] [ensemble/plot_gradient_boosting_regression.html](https://scikit-learn.org/dev/auto_examples/ensemble/plot_gradient_boosting_regression.html) #24946
 - [x] [ensemble/plot_gradient_boosting_regularization.html](https://scikit-learn.org/dev/auto_examples/ensemble/plot_gradient_boosting_regularization.html) #24960
 - [x] [manifold/plot_manifold_sphere.html](https://scikit-learn.org/dev/auto_examples/manifold/plot_manifold_sphere.html) #24941
 - [x] [manifold/plot_lle_digits.html](https://scikit-learn.org/dev/auto_examples/manifold/plot_lle_digits.html) #24922
 - [x] [manifold/plot_mds.html](https://scikit-learn.org/dev/auto_examples/manifold/plot_mds.html) #24940
 - [x] [cluster/plot_dict_face_patches.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_dict_face_patches.html) #24910
 - [x] [release_highlights/plot_release_highlights_0_23_0.html](https://scikit-learn.org/dev/auto_examples/release_highlights/plot_release_highlights_0_23_0.html) #24937
 - [x] [release_highlights/plot_release_highlights_1_1_0.html](https://scikit-learn.org/dev/auto_examples/release_highlights/plot_release_highlights_1_1_0.html) #24939
 - [x] ~~[model_selection/plot_grid_search_text_feature_extraction.html](https://scikit-learn.org/dev/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html)~~ https://github.com/scikit-learn/scikit-learn/pull/24961
 - [x] [cluster/plot_kmeans_silhouette_analysis.html](https://scikit-learn.org/dev/auto_examples/cluster/plot_kmeans_silhouette_analysis.html) #24929
 - [x] [applications/plot_cyclical_feature_engineering.html](https://scikit-learn.org/dev/auto_examples/applications/plot_cyclical_feature_engineering.html) #24892

Contributors willing to address this issue, please offer one example per pull request.

Thanks for your help!

### Suggest a potential alternative/fix

_No response_

COMMENT:
Sorry, this is my first time contributing to sci-learn. When you say fix, should we make it so the future warnings are accurate and change the defaults? Or instead address the TODO's in the code and then remove the warnings?

So, in the case of [`https://scikit-learn.org/dev/auto_examples/cluster/plot_color_quantization.html`](cluster/plot_color_quantization.htm) - should I:
- Change default_n_init to 10
or
- Fix it so default_n_init is set by auto

Labels: Documentation, good first issue, Meta-issue