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ML UNIT-5 Notes by senthilt08031987 is a document available to read on EtoBox.
What is ML UNIT-5 Notes about?
The document discusses clustering, a method of grouping data points based on similarity, and outlines two main types: hard clustering, where points belong to one cluster, and soft clustering, where points have probabilities of belonging to multiple clusters. It also covers data partitioning techniques, their importance for performance and scalability, and various clustering methods including K-Means, Expectation-Maximization, and Rough Clustering. Additionally, it highlights the applications of these method
- Author
- senthilt08031987
- Language
- EN