45 citations · 45 across the 1 of their papers we have counts for
3 papers
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…
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…
A generalised framework for detailed classification of swimming paths inside the Morris Water Maze
Avgoustinos Vouros, Tiago V. Gehring, Kinga Szydlowska +7
The Morris Water Maze is commonly used in behavioural neuroscience for the study of spatial learning with rodents. Over the years, various methods of analysing rodent data collecte…