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What are the different methods of unsupervised learning?
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Answer / Manisha Singh
Unsupervised learning is a machine learning technique where the model learns from data without labeled examples. Here are some popular unsupervised learning methods: n1. Clustering: Grouping similar instances together based on their features.n2. Dimensionality Reduction: Reducing the number of features while preserving essential information.n3. Anomaly Detection: Identifying unusual or abnormal patterns in data.n4. Autoencoders: Neural networks trained to reconstruct input data, often used for dimensionality reduction and feature learning.
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