What are some examples of clustering in data analysis?
An example of an AI chatbot conversation about clustering techniques in data analysis.
What are some examples of clustering in data analysis?
Clustering is a technique used to group similar data points together. Examples include customer segmentation, image recognition, and market basket analysis.
Can you explain customer segmentation in more detail?
Sure! Customer segmentation involves dividing a customer base into groups based on shared characteristics, like demographics or purchasing behavior.
What algorithms are commonly used for clustering?
Common clustering algorithms include K-means, hierarchical clustering, and DBSCAN. Each has its own strengths depending on the data.
How do I choose the right clustering algorithm for my data?
Choosing the right algorithm depends on your data's size, shape, and the desired outcome. It's often useful to experiment with a few.
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