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Related Questions
- What are the common evaluation metrics used to compare the performance of clustering algorithms in text data?
- How can you visually represent the clustering results to compare the performance of different algorithms?
- What are the advantages and disadvantages of using silhouette score, calinski-harabasz index, and davies-bouldin index to evaluate clustering performance in text data?
- Can you explain the difference between hierarchical and non-hierarchical clustering algorithms and when to use each in text data?
- How can you determine the optimal number of clusters for different clustering algorithms in text data?
- What is the role of feature extraction and dimensionality reduction in comparing the performance of clustering algorithms in text data?
- Can you describe a scenario where k-means clustering would be more suitable than hierarchical clustering, and vice versa, in text data?
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