A new embedding quality assessment method for manifold learning

@article{Zhang2012ANE,
  title={A new embedding quality assessment method for manifold learning},
  author={Peng Fei Zhang and Yuanyuan Ren and Bo Zhang},
  journal={Neurocomputing},
  year={2012},
  volume={97},
  pages={251-266}
}
Manifold learning is a hot research topic in the field of computer science. A crucial issue with current manifold learning methods is that they lack a natural quantitative measure to assess the quality of learned embeddings, which greatly limits their applications to real-world problems. In this paper, a new embedding quality assessment method for manifold learning, named as Normalization Independent Embedding Quality Assessment (NIEQA), is proposed. Compared with current assessment methods… CONTINUE READING
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