Can you explain the main types of clustering in Unsupervised Learning?
- Divisive, K-Means, Gaussian Mixture
- Hierarchical, Divisive
- Hierarchical, K-Means, Gaussian Mixture
- K-Means, Hierarchical, Neural Network
Clustering in Unsupervised Learning refers to grouping data points that are similar to each other. The main types include Hierarchical (building nested clusters), K-Means (partitioning data into 'K' clusters), and Gaussian Mixture (using probability distributions to form clusters).
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