9 citations · 41 across the 11 of their papers we have counts for
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cs.LG2021★ 3 cited
T-SNE Is Not Optimized to Reveal Clusters in Data
Zhirong Yang, Yuwei Chen, Jukka Corander
Cluster visualization is an essential task for nonlinear dimensionality reduction as a data analysis tool. It is often believed that Student t-Distributed Stochastic Neighbor Embed…
cs.LG2021★ 2 cited
Stochastic Cluster Embedding
Zhirong Yang, Yuwei Chen, Denis Sedov +2
Neighbor Embedding (NE) aims to preserve pairwise similarities between data items and has been shown to yield an effective principle for data visualization. However, even the best…
stat.ME2021★ 8 cited
Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood
Johan Pensar, Henrik Nyman, Jukka Corander
Markov networks are popular models for discrete multivariate systems where the dependence structure of the variables is specified by an undirected graph. To allow for more expressi…