What is clustering in machine learning?
Clustering is a technique used in machine learning to group similar data points together based on their features.
Can you explain how to implement clustering in Python?
Sure! You can use libraries like Scikit-learn to implement clustering algorithms like K-means or DBSCAN.
What are some common clustering algorithms?
Some common clustering algorithms include K-means, Hierarchical clustering, and DBSCAN.
How do I choose the right number of clusters?
You can use methods like the Elbow method or Silhouette score to determine the optimal number of clusters.
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