Avgoustinos Vouros

An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations

2021 · Machine Learning

Abstract K-Means is one of the most used algorithms for data clustering and the usual clustering method for benchmarking. Despite its wide application it is well-known that it suffers from a series of disadvantages; it …