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Related Questions
- What are the key assumptions and limitations of k-means clustering in modeling flocking behavior?
- How can hierarchical clustering be used to identify subgroups within a flocking behavior dataset?
- What are some common evaluation metrics used to assess the performance of clustering algorithms in modeling flocking behavior?
- Can you provide examples of how k-means clustering can be used to identify clusters of birds with similar flying patterns?
- How can dimensionality reduction techniques, such as PCA or t-SNE, be used to visualize high-dimensional flocking behavior data?
- What are some challenges associated with applying clustering algorithms to real-world flocking behavior datasets?
- Can you discuss the differences between k-means and hierarchical clustering in terms of their ability to capture complex patterns in flocking behavior?
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