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Related Questions
- What is the purpose of the null model in the gap statistic method for determining the optimal number of clusters?
- How does the gap statistic method calculate the difference in within-cluster sum of squares and the expected value under the null model?
- What is the relationship between the gap statistic and the optimal number of clusters in a given dataset?
- Can the gap statistic method be used for clustering datasets with different types of variables (e.g., continuous and categorical)?
- How does the gap statistic method handle cases where the null model does not converge or is unstable?
- What are the advantages and limitations of using the gap statistic method for determining the optimal number of clusters?
- Can the gap statistic method be used in conjunction with other clustering algorithms or methods to improve clustering results?
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