Supervised vs Unsupervised Learning What is Clustering
Clustering can be a powerful choice when trying to solve business problems in Machine Learning. Clustering is a method of unsupervised learning in machine learning that groups similar instances together in clusters. It is used to discover the inherent groupings in the data, such as grouping customers by purchasing behavior. Clustering algorithms like K-means, Hierarchical Clustering, and DBSCAN are commonly used in various applications such as image segmentation, anomaly detection and market segmentation. Find out more about clustering in this video!
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