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Related Questions
- What are the key differences between k-means and hierarchical clustering algorithms in NLP?
- How do you evaluate the performance of a clustering model in text data?
- What are some common metrics used to assess the quality of clustering models in NLP, such as silhouette score and calinski-harabasz index?
- Can you explain the concept of homogeneity and completeness in clustering evaluation metrics?
- What is the purpose of using a clustering model like k-means in NLP tasks such as topic modeling or document classification?
- How do you determine the optimal number of clusters (k) for k-means clustering in a given dataset?
- What are some techniques for visualizing the results of clustering models in NLP, such as dimensionality reduction or feature selection?
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