2 papers
cs.LG2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations
Dmitry Kobak, George Linderman, Stefan Steinerberger +2
T-distributed stochastic neighbour embedding (t-SNE) is a widely used data visualisation technique. It differs from its predecessor SNE by the low-dimensional similarity kernel: th…
stat.AP2018
Putin's peaks: Russian election data revisited
Dmitry Kobak, Sergey Shpilkin, Maxim S. Pshenichnikov
We study the anomalous prevalence of integer percentages in the last parliamentary (2016) and presidential (2018) Russian elections. We show how this anomaly in Russian federal ele…