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Related Questions
- What are the consequences of selecting an optimal number of clusters that is too low, resulting in over-clustering?
- How does the Elbow method determine the optimal number of clusters, and what are the potential pitfalls of relying solely on this method?
- What are the implications of choosing a number of clusters that is too high, leading to under-clustering in the context of the Elbow method?
- How does the Elbow method balance the trade-off between over-clustering and under-clustering in determining the optimal number of clusters?
- What are the effects of increasing or decreasing the number of clusters on the quality of the clusters in the context of the Elbow method?
- Can the Elbow method be used to identify the optimal number of clusters in high-dimensional data, and if so, what are the challenges involved?
- What are the relationships between the number of clusters, cluster size, and the overall performance of the clustering algorithm in the context of the Elbow method?
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