2010 UniversalMultiDimensionalScalin
- (Agarwal et al., 2010) ⇒ Arvind Agarwal, Jeff M. Phillips, and Suresh Venkatasubramanian. (2010). “Universal Multi-dimensional Scaling.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835948
Subject Headings:
Notes
Cited By
- http://scholar.google.com/scholar?q=%22Universal+multi-dimensional+scaling%22+2010
- http://portal.acm.org/citation.cfm?id=1835948&preflayout=flat#citedby
Quotes
Author Keywords
Multi-dimensional scaling, dimensionality reduction.
Abstract
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, they have a small memory footprint and scale effectively for large data sets. We expect that this framework will be useful for a number of MDS variants that have not yet been studied.
Our framework extends to embedding high-dimensional points lying on a sphere to points on a lower dimensional sphere, preserving geodesic distances. As a complement to this result, we also extend the Johnson-Lindenstrauss Lemma to this spherical setting, by showing that projecting to a random [math]\displaystyle{ O((1/\varepsilon^2) \log n) }[/math]-dimensional sphere causes only an [math]\displaystyle{ \varepsilon }[/math]-distortion in the geodesic distances.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2010 UniversalMultiDimensionalScalin | Arvind Agarwal Jeff M. Phillips Suresh Venkatasubramanian | Universal Multi-dimensional Scaling | KDD-2010 Proceedings | http://www.cs.utah.edu/~suresh/papers/smds/kdd10-final.pdf | 10.1145/1835804.1835948 | 2010 |