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Related Questions
- Can Minkowski distance be used to identify clusters in high-dimensional data sets?
- How does Minkowski distance compare to other distance metrics, such as Euclidean and Manhattan distance, in terms of clustering performance?
- What is the effect of varying the p parameter in the Minkowski distance formula on the resulting clusters?
- Can Minkowski distance be used to cluster data points in non-Euclidean spaces, such as spherical or hyperbolic spaces?
- How does the choice of distance metric, including Minkowski distance, affect the interpretability of clusters?
- Can Minkowski distance be used in conjunction with other clustering algorithms, such as k-means or hierarchical clustering, to improve clustering performance?
- What are some common use cases for Minkowski distance in clustering, such as image segmentation or text analysis?
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