[Concept Entry] Sklearn Biclustering

[codecademy-docs]

Reason/inspiration (optional)

We would like a new entry on the Biclustering concept under Sklearn. The entry should go in a new file under docs/content/sklearn/concepts/biclustering/biclustering.md.

The entry should include:

• An introduction to the concept
• A Syntax section that provides the syntax for the concept (if applicable)
• An Example section that provides an example demonstrating the concept in use (if applicable)
• A Codebyte Example section that provides a codebyte example demonstrating the concept in use (if applicable)

Please refer to the concept entry template, content standards and markdown style guide when working on the PR for this issue.

Entry Type (select all that apply)

New Concept Entrty for Existing Topic

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[saldanhad]

Hi @codecademy-docs, can I work on this ?

[SaviDahegaonkar]

Hey @saldanhad , You’re assigned 🎉 In addition to the documents linked in the description, please also look at the Contribution Guide. After creating a PR, the maintainer(s) (with the collaborator label) will add comments/suggestions to address any revisions before approval.

Is this your first contribution to Codecademy Docs? If so, we’re curious to know how you found out about contributing to Docs.

Thanks & Regards, Savi

[saldanhad]

Hi @SaviDahegaonkar, thanks for assigning this. Needed clarification on the below:

• Scikit-learn does not have a specific overarching method or module dedicated solely to biclustering.

• Instead, it provides two algorithms for biclustering:

  • Spectral Co-Clustering (SpectralCoclustering)
  • Spectral Biclustering (SpectralBiclustering)

• These two algorithms are available under the sklearn.cluster module, and they are commonly used to perform biclustering on datasets (e.g., gene expression data, text data).

Could you advise what would codeacademy like here and if it's required to document both methods, could you advise how the concept entry should be structured. Since I have only seen single sklearn methods documented thus far. Thanks!

[mamtawardhani]

Hey @saldanhad, if you are still working on this issue, in my opinion you can have an intro an example for both the algorithms, the structure could be:

• intro to topic
• intro to algorithm 1
• example
• intro to algorithm 2
• example
• use cases (if applicable)

@Sriparno08 your thoughts?

[Sriparno08]

The structure looks good, @mamtawardhani!