Curvilinear component analysis and Bregman divergences

  title={Curvilinear component analysis and Bregman divergences},
  author={Jigang Sun and Colin Fyfe and Malcolm K. Crowe},
Curvilinear Component Analysis (CCA) is an interesting flavour of multidimensional scaling. In this paper one version of CCA is proved to be related to the mapping found by a specific Bregman divergence and its stress function is redefined based on this insight, and its parameter (the neighbourhood radius) is explained. 

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-9 of 9 extracted citations

The on-line curvilinear component analysis (onCCA) for real-time data reduction

2015 International Joint Conference on Neural Networks (IJCNN) • 2015
View 3 Excerpts

Similar Papers

Loading similar papers…