Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction

Author:

Xia Jiazhi1ORCID,Huang Linquan1,Lin Weixing1,Zhao Xin1,Wu Jing2ORCID,Chen Yang1,Zhao Ying1ORCID,Chen Wei3

Affiliation:

1. School of Computer Science and Engineering, Central South University, China

2. Cardiff University, U.K.

3. State Key Lab of CAD&CG, Zhejiang University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference92 articles.

1. A Global Geometric Framework for Nonlinear Dimensionality Reduction

2. Improved deep metric learning with multi-class n-pair loss objective;sohn;Advances in neural information processing systems,2016

3. Selecting good views of high-dimensional data using class consistency

4. Global versus local methods in nonlinear dimensionality reduction;silva;Proceeding Of Advances in Neural Information Processing Systems,0

5. Visualizing data using t-sne;van der maaten;Journal of Machine Learning Research,2008

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