How can I improve clustering results in my data analysis?
An example of an AI chatbot conversation about improving clustering results in data analysis.
How can I improve clustering results in my data analysis?
To improve clustering results, consider normalizing your data, choosing the right algorithm, and tuning parameters.
What normalization techniques should I use?
Common normalization techniques include Min-Max scaling, Z-score normalization, and robust scaling.
How do I choose the right clustering algorithm?
It depends on your data characteristics. For example, K-means works well for spherical clusters, while DBSCAN is better for arbitrary shapes.
Can you explain how to tune parameters for K-means?
You can tune parameters like the number of clusters (k) using methods like the elbow method or silhouette score.
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