Kernel $k$-Medoids as General Vector Quantization

Thore Gerlach, Sascha Mücke, Christian Bauckhage

Vector Quantization (VQ) is a widely used technique in machine learning and data compression, valued for its simplicity and interpretability. Among hard VQ methods, $k$-medoids clu…