Unsupervised Learning
K-means clustering, hierarchical clustering, and PCA for dimensionality reduction.
Unsupervised learning discovers structure in unlabelled data. This chapter covers k-means clustering and its initialisation strategies, hierarchical agglomerative clustering, and principal component analysis as a technique for reducing dimensionality while preserving variance.