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Related Questions
- What are the key assumptions of the gap statistic method for determining the optimal number of clusters?
- How does the gap statistic method compare to other clustering evaluation metrics, such as the silhouette score or Calinski-Harabasz index?
- Can the gap statistic method be used for high-dimensional data, and if so, what are the implications for its performance?
- How does the gap statistic method handle noise or outliers in the data, and what are the potential consequences?
- What are the computational requirements for implementing the gap statistic method, and are there any limitations in terms of data size or complexity?
- Can the gap statistic method be used for hierarchical clustering, and if so, how does it compare to other hierarchical clustering methods?
- What are the potential applications of the gap statistic method in real-world domains, such as image segmentation or customer segmentation?
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