Embedding of potentially asymmetric proximity data (visualization)

Published a paper with Marc Strickert and Eyke Hüllermeier about

Correlation-based embedding of pairwise score data

The approach can be applied to embed potentially asymmetric proximity (score) data preserving

correlation between the data. It also shows multiple theoretical insights into the conceptual behavior of alternative approaches. 

http://www.sciencedirect.com/science/article/pii/S0925231214003956

Published paper at Neurocomputing

Published a paper "Learning vector quantization for (dis-)similarities"

focusing on a framework for (non-metric) proximity based learning using prototypes.
http://www.sciencedirect.com/science/article/pii/S0925231213010941

Poster presentation about non-metric data analysis @MiWoCi/WSOM'14

I will have a poster presentation at MiWoCi / Workshop on Self-Organizing Maps 2014
http://www.global.hs-mittweida.de/~wsom2014
The poster will address different approaches to deal with indefinite / non-psd / non-positive
proximity data.