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Related Questions
- What are some common metrics used to evaluate the performance of clustering models in NLP?
- How does the silhouette score work and what does it represent in clustering evaluation?
- What are the advantages and limitations of using the calinski-harabasz index for clustering model assessment?
- Can you explain the concept of internal validity in clustering evaluation and how metrics like silhouette score and calinski-harabasz index relate to it?
- How do you choose the right clustering evaluation metric for a specific NLP task or dataset?
- What are some common pitfalls or challenges when using metrics like silhouette score and calinski-harabasz index for clustering model evaluation?
- Can you discuss the relationship between clustering evaluation metrics and model interpretability in NLP applications?
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