## Visualizing the effects of a changing distance on data using continuous embeddings

- Gina Gruenhage, Manfred Opper, Simon Barthelmé
- Computational Statistics & Data Analysis
- 2016

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@inproceedings{Agarwal2010UniversalMS, title={Universal multi-dimensional scaling}, author={Arvind Agarwal and Jeff M. Phillips and Suresh Venkatasubramanian}, booktitle={KDD}, year={2010} }

- Published 2010 in KDD
DOI:10.1145/1835804.1835948

In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is modular; by changing the internals of a single subroutine in the algorithm, we can switch cost functions and target spaces easily. In addition to the formal guarantees of convergence, our algorithms are accurate; in most cases, they converge to better quality solutions than existing methods in comparable time. Moreover… CONTINUE READING

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