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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…
cs.LG2019★ 1 cited
Learning sparsity in reservoir computing through a novel bio-inspired algorithm
Luca Manneschi, Andrew C. Lin, Eleni Vasilaki
The mushroom body is the key network for the representation of learned olfactory stimuli in Drosophila and insects. The sparse activity of Kenyon cells, the principal neurons in th…