PCA is a method of dimensional reduction. When a machine learning method has a large number of features, we must choose the features that contribute the most and ignore the datasets that are less significant. This is where PCA comes into play. Consequently, PCA is an unsupervised method for choosing useful datasets from a huge […]
Unsupervise Learning
R Exercise: Association Rule Mining in R
Association Rule Mining Association rule mining (also known as Association Rule Learning) is a typical technique for determining relationships (co-occurrence) between many variables. It is mostly used in grocery stores, e-commerce websites, and other similar establishments, in addition to massive transactional databases. Amazon knows what else you want to buy when you order something on […]