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What is Unsupervised Learning Techniques Overview about?

This document discusses unsupervised machine learning techniques. It begins with an overview of unsupervised learning and its goals of finding natural partitions in unlabeled training data. The document then describes clustering and hierarchical clustering approaches. It provides details on clustering methods based on Euclidean distance and probabilities. For hierarchical clustering, it explains agglomerative clustering and the COBWEB probabilistic approach. It concludes with mentioning other common unsuper

Author

T

Language

EN