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Related Questions
- What are the primary applications of the gap statistic method in evaluating clustering algorithms?
- How does the choice of reference distribution impact the accuracy of the gap statistic results?
- What are the potential biases in the gap statistic method, and how can they be mitigated?
- Can the gap statistic method be used for high-dimensional data sets, and if so, what are the challenges?
- How does the gap statistic method compare to other clustering evaluation metrics, such as the silhouette score or Calinski-Harabasz index?
- What are the assumptions of the gap statistic method regarding the underlying data distribution, and how are they tested?
- How does the gap statistic method handle noisy or outliers in the data, and what are the implications for the results?
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