How do I choose the right clustering method for my data?
An example of an AI chatbot conversation about selecting clustering methods for data analysis.
How do I choose the right clustering method for my data?
Choosing a clustering method 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 methods like K-Prototypes or Gower's distance. Have you tried any clustering algorithms yet?
I haven't tried any yet. What would you recommend as a starting point?
A good starting point is K-Means for numerical data, but for mixed data, K-Prototypes is often more effective. Would you like to know more about how to implement these?
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