Difference between K-means and LVQ

K-means and LVQ (Learning Vector Quantization) are both clustering algorithms used in machine learning, but they have some key differences. K-means is a popular unsupervised clustering algorithm that seeks to partition a set of data points into K clusters, where K is a pre-defined number chosen by the user. The algorithm works by first randomly initializing K cluster centers and then iteratively..

2023.03.06