What are the different types of unsupervised learning?
An example of an AI chatbot conversation about unsupervised learning techniques and their applications.
What are the different types of unsupervised learning?
Unsupervised learning involves training models on data without labeled responses. Common types include clustering and dimensionality reduction.
Can you explain clustering in more detail?
Sure! Clustering groups similar data points together. Popular algorithms include K-means, hierarchical clustering, and DBSCAN.
What about dimensionality reduction?
Dimensionality reduction techniques, like PCA and t-SNE, reduce the number of features while preserving important information.
How are these techniques used in real-world applications?
They are used in various fields, such as customer segmentation, image compression, and anomaly detection.
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