Sciweavers

290 search results - page 8 / 58
» Landscape Multidimensional Scaling
Sort
View
CSDA
2006
67views more  CSDA 2006»
13 years 7 months ago
Sensitivity analysis of the strain criterion for multidimensional scaling
Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Cla...
R. M. Lewis, M. W. Trosset
NN
2006
Springer
104views Neural Networks» more  NN 2006»
13 years 7 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
KDD
2010
ACM
195views Data Mining» more  KDD 2010»
13 years 11 months ago
Universal multi-dimensional scaling
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 m...
Arvind Agarwal, Jeff M. Phillips, Suresh Venkatasu...
HAPTICS
2009
IEEE
14 years 2 months ago
Quantifying perception of nonlinear elastic tissue models using multidimensional scaling
Simplified soft tissue models used in surgical simulations cannot perfectly reproduce all material behaviors. In particular, many tissues exhibit the Poynting effect, which resul...
Sarthak Misra, Philipp Fürnstahl, K. T. Rames...
ICASSP
2009
IEEE
13 years 5 months ago
Ensembles of landmark multidimensional scalings
Landmark multidimensional scaling (LMDS) uses a subset of data (landmark points) to solve classical MDS, where the scalability is increased but the approximation is noise-sensitiv...
Seunghak Lee, Seungjin Choi