2 papers
cs.LG2020
A semi-supervised sparse K-Means algorithm
Avgoustinos Vouros, Eleni Vasilaki
We consider the problem of data clustering with unidentified feature quality and when a small amount of labelled data is provided. An unsupervised sparse clustering method can be e…
cs.LG2019
An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations
Avgoustinos Vouros, Stephen Langdell, Mike Croucher +1
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…