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Here are three examples of unsupervised learning problems: 1. A telecommunications company has customer data and wants to segment customers into meaningful groups without labels. They can use clustering to group customers with similar characteristics and behaviors. 2. A genetic researcher has gene expression data from tissue samples and wants to discover what genes are co-expressed without knowing the underlying patterns in the data. Clustering the gene expression profiles can reveal co-expressed genes.

Author

neelamysr

Language

EN