What is the elbow method in clustering?
An example of an AI chatbot conversation about the elbow method in clustering analysis.
What is the elbow method in clustering?
The elbow method is a technique used to determine the optimal number of clusters in a dataset.
How does the elbow method work?
It works by plotting the explained variance against the number of clusters and looking for the 'elbow' point.
Why is it called the elbow method?
It's called the elbow method because the plot resembles an arm with an elbow, where the curve bends.
Can you give an example of using the elbow method?
Sure! For instance, if you have a dataset of customer purchases, you can plot the variance for different cluster counts to find the optimal number.
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