• Stochastic Cluster Embedding 

      Yang, Zhirong; Chen, Yuwei; Sedov, Denis; Kaski, Samuel; Corander, Jukka (Peer reviewed; Journal article, 2023)
      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 existing NE methods such as stochastic ...
    • Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition 

      Sedov, Denis; Yang, Zhirong (Chapter, 2018)
      Word embedding, which encodes words into vectors, is an important starting point in natural language processing and commonly used in many text-based machine learning tasks. However, in most current word embedding approaches, ...