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Related Questions
- What are the key differences between Minkowski distance and other distance metrics like Euclidean and Manhattan distances?
- How can Minkowski distance be used to identify clusters in high-dimensional data with varying densities?
- What are the advantages of using Minkowski distance over other distance metrics for clustering high-dimensional data?
- Can you explain the concept of 'M' parameter in Minkowski distance and how it affects clustering results?
- How can Minkowski distance be used to cluster data with missing values or outliers?
- What are some common applications of Minkowski distance in clustering high-dimensional data?
- How can Minkowski distance be combined with other clustering algorithms, such as k-means or hierarchical clustering, for improved results?
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