MinHash (Efficient Similarity Search)

- Why? 🧠 Quickly estimates similarity between sets in constant space.

- Use Case: Search engines, plagiarism detection, recommendation systems.

- Example: Detects duplicate articles efficiently without comparing all words.

💡 Why is this great? → Very efficient for large-scale search & AI applications.

No file, entry point, API, or test is named in the issue. Start by inspecting the repository structure and existing algorithm implementations, then confirm the intended MinHash interface and similarity behavior with maintainers. Done should be a tested implementation that follows the repository's conventions.

Written by the indexing model from the issue text.