Glossary

The K-Nearest Neighbors Algorithm is a supervised learning system ideal for classification and regression tasks. It predicts data by analyzing its closest neighbors in the dataset.

K-Means Clustering is a machine learning tool that classifies datasets into ‘k’ clusters based on their features, effectively reducing within-cluster variances for optimal data grouping.

The Junction Tree Algorithm is a potent computing technique used in graphical models to ascertain the likeliest arrangement of concealed variables backed by observed variables.