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Related Questions
- What is the gap statistic and how does it relate to determining the optimal number of clusters in clustering analysis?
- Can you explain the difference between the gap statistic method and other methods for determining the optimal number of clusters, such as the silhouette method?
- What are the key assumptions of the gap statistic method, and how do they impact the accuracy of the results?
- How does the gap statistic method handle outliers and noise in the data when determining the optimal number of clusters?
- Can the gap statistic method be used with different types of data, such as numerical, categorical, or mixed data?
- What is the relationship between the gap statistic method and other clustering algorithms, such as k-means or hierarchical clustering?
- How does the gap statistic method determine the optimal number of clusters based on the difference in within-cluster sum of squares and the expected value under a null model?
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