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What is Unsupervised Learning and Clustering Explained about?

Unsupervised learning is a type of machine learning that identifies patterns in unlabeled data without human supervision, contrasting with supervised learning which relies on labeled data. Clustering, a key technique in unsupervised learning, groups similar data points into clusters, with methods including hard clustering, soft clustering, and various algorithms like K-means and mean shift. Applications of clustering span across multiple fields, including marketing, biology, medical diagnosis, and fraud det

Author

laxmivaghela1198

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EN