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Related Questions
- How does cosine similarity affect the clustering of high-dimensional data?
- Can you explain the trade-offs between using cosine similarity and Euclidean distance in clustering algorithms?
- What are some common applications of cosine similarity in clustering, and how does it perform in these scenarios?
- How does the choice of distance metric, such as cosine similarity, impact the interpretability of clustering results?
- Can you compare the performance of cosine similarity with other distance metrics, such as Manhattan distance or Minkowski distance?
- How does cosine similarity handle outliers and noise in the data compared to other distance metrics?
- What are the implications of using cosine similarity in clustering when dealing with sparse or high-dimensional data?
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