A 4.3.4 / 4.3.5 Unsupervised Learning: Clustering & Association
A4.3.4 details unsupervised learning's clustering techniques, which group data points based on inherent feature similarities. A practical application is segmenting a customer base using purchasing data. A4.3.5 explains association rule learning, used to uncover relations between different attributes in large datasets. For instance, in crime analysis, it can reveal links like high vandalism rates often co-occurring...