3 citations · 7 across the 3 of their papers we have counts for
3 papers
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★ 2 cited
Doubly Stochastic Neighbor Embedding on Spheres
Yao Lu, Jukka Corander, Zhirong Yang
Stochastic Neighbor Embedding (SNE) methods minimize the divergence between the similarity matrix of a high-dimensional data set and its counterpart from a low-dimensional embeddin…