Glossary

The Jaro-Winkler Distance is a key technique for measuring differences between text strings such as data records, contributing to effective string matching and data deduplication.

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.

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.