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Related Questions
- What are the limitations of using cosine similarity in real-world applications?
- How does the presence of outliers affect the performance of cosine similarity in clustering algorithms?
- Can you explain the concept of noise in the context of cosine similarity and how it impacts its calculations?
- How does cosine similarity compare to other distance metrics, such as Euclidean distance and Manhattan distance, in terms of handling outliers and noise?
- What are some common techniques used to preprocess data to reduce the impact of outliers and noise on cosine similarity?
- Can you describe a scenario where cosine similarity would be more suitable than other distance metrics, and vice versa?
- How does the choice of normalization scheme affect the robustness of cosine similarity to outliers and noise?
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