National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008]; National Key Research and Development Program of China [2017YFC0909502]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Background: The traditional methods of visualizing high-dimensional data objects in low-dimensional metric spaces are subject to the basic limitations of metric space. These limitations result in multidimensional scaling that fails to faithfully represent non-metric similarity data. Results: Multiple maps t-SNE (mm-tSNE) has drawn much attention due to the construction of multiple mappings in low-dimensional space to visualize the non-metric pairwise similarity to eliminate the limitations of a single metric map. mm-tSNE regularization combines...