How do I choose the right clustering algorithm for my data?
An example of an AI chatbot conversation about selecting clustering algorithms for data analysis.
How do I choose the right clustering algorithm for my data?
Choosing a clustering algorithm depends on your data's characteristics. What type of data are you working with?
I have a mix of numerical and categorical data.
For mixed data types, you might consider algorithms like K-Prototypes or Gower's distance. Have you tried any specific algorithms yet?
Not yet, I'm just starting to explore.
That's great! Start with K-Means for numerical data and see how it performs. You can also explore hierarchical clustering for a more visual approach.
What about the number of clusters? How do I decide that?
You can use methods like the Elbow Method or Silhouette Score to determine the optimal number of clusters. Would you like to know more about these methods?
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