[DOC] Deep learning clustering notebook

[Edgeshot27]

Reference Issues/PRs #2283

What does this implement/fix? Explain your changes.

This notebook presents six deep learning clustering models with detailed explanations, code examples, and visualizations:

• AEFCNClusterer (Auto-Encoder Fully Convolutional Network)
• AEResNetClusterer (Auto-Encoder Residual Network)
• AEDCNNClusterer (Auto-Encoder Dilated Convolutional Network)
• AEDRNNClusterer (Auto-Encoder Dilated Recurrent Neural Network)
• AEAttentionBiGRUClusterer (Auto-Encoder Attention Bidirectional GRU Network)
• AEBiGRUClusterer (Auto-Encoder Bidirectional GRU Network)

Each model section explains its architecture, sample code implementation, and visualized clustering results to aid user understanding.

Does your contribution introduce a new dependency? If yes, which one?

Any other comments?

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[Edgeshot27]

@MatthewMiddlehurst , @chrisholder , @TonyBagnall could you please review this pr.

[aadya940]

@Edgeshot27

Can you please:

• Change the file name to use non captial letters.
• Show a small part of the dataset you're using [:5, ]?
• Interpret the scatter plots you've shown using text? What do they signify?
• The formatting is improper in the AEBiGRUClusterer heading.
• Improve grammar a bit. For example, you use a non-capital letter after a full-stop in AEDRNNClusterer description and you've use capital letters where not needed (eg: Suitable in the same paragraph).

[Edgeshot27]

@aadya940 the scatter plots observation would be quite same for some of the them so should i add them as inference if same for both.

[aadya940]

@Edgeshot27 Yes.