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Related Questions
- What are the different types of distance measures used in k-means clustering and how do they impact the clustering results?
- How does the choice of distance measure affect the shape and orientation of the clusters in k-means clustering?
- Can you explain the effect of distance measure on the stability and reproducibility of k-means clustering results?
- How does the Euclidean distance measure compare to the Manhattan distance measure in terms of clustering results?
- What are the advantages and disadvantages of using different distance measures in k-means clustering?
- Can you provide examples of real-world applications where the choice of distance measure has a significant impact on the k-means clustering results?
- How can the choice of distance measure be influenced by the characteristics of the data, such as dimensionality and density?
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