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Related Questions
- What is the Elbow method and how is it used in k-means clustering?
- How does the Elbow method graphically represent the relationship between the number of clusters and the within-cluster sum of squares (WSS) in k-means clustering?
- What is the significance of the point of 'elbow' in the graph obtained by using the Elbow method for selecting the optimal number of clusters in k-means?
- How does the Elbow method help in determining the optimal number of clusters in k-means clustering when dealing with high-dimensional data?
- What are the advantages of using the Elbow method over other methods for selecting the optimal number of clusters in k-means clustering?
- Can the Elbow method be used for selecting the optimal number of clusters in other clustering algorithms beyond k-means?
- How can the Elbow method be visualized using different types of plots, such as scatter plots or line plots, and what insights can be gained from them?
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