Chapter 10 Unsupervised Learning

Unsupervised machine learning is a type of machine learning that deals with finding patterns or relationships in data without explicit guidance or supervision. Unlike supervised learning, unsupervised learning does not rely on labeled data but instead tries to identify inherent patterns or structure in the data. There are several popular unsupervised machine learning techniques including:

1. K-means clustering
2. Hierarchical clustering
3. Principal Component Analysis (PCA)
4. Association Rule Learning
5. Density-Based Clustering

The choice of unsupervised learning technique depends on the nature of the data and the specific application requirements.