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K-Means Clustering

  • Q. How does K-Means Work?
  • Q. How can you choose the optimal value for ‘k’ in K-Means?
  • Q. What loss function does K-Means seek to minimize?
  • Q. How does the initial choice of centroids affect the K-Means algorithm?
  • Q. What are the Pros and Cons of K-Means Clustering?
  • Q. What is the effect of minimizing the within-cluster sum of squares on the shapes of clusters produced in K-Means?
  • Q. How do outliers affect the clusters formed in K-Means?
  • Q. How does K-Means ++ work?
  • Q. What are some of the pros and cons of hierarchical clustering compared to K-Means?
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      • Transformers (9)
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Other Questions in K-Means Clustering
  • What are options to calibrate probabilities produced from the output of a classifier that does not produce natural probabilities?
  • What are the subtypes of Cross Validation?
  • What is Specificity?
  • Explain the concept and working of the Random Forest model
  • How does a learning curve give insight into whether the model is under- or over-fitting?
  • What is the difference between Discriminative and Generative models?
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