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…
cs.LG2016
On the inconsistency of -penalised sparse precision matrix estimation
Otte Heinävaara, Janne Leppä-aho, Jukka Corander +1
Various -penalised estimation methods such as graphical lasso and CLIME are widely used for sparse precision matrix estimation. Many of these methods have been shown to be…