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GD
2006
Springer
13 years 11 months ago
Eigensolver Methods for Progressive Multidimensional Scaling of Large Data
We present a novel sampling-based approximation technique for classical multidimensional scaling that yields an extremely fast layout algorithm suitable even for very large graphs....
Ulrik Brandes, Christian Pich
ACIVS
2009
Springer
14 years 13 days ago
A New Feasible Approach to Multi-dimensional Scale Saliency
In this paper, we present a multi-dimensional extension of an image feature extractor, the scale saliency algorithm by Kadir and Brady. In order to avoid the curse of dimensionalit...
Pablo Suau, Francisco Escolano
INFORMATICALT
2008
97views more  INFORMATICALT 2008»
13 years 7 months ago
On Dimensionality of Embedding Space in Multidimensional Scaling
Multidimensional scaling is a technique for exploratory analysis of multidimensional data widely usable in different applications. By means of this technique the image points in a ...
Julius Zilinskas
CSDA
2006
97views more  CSDA 2006»
13 years 7 months ago
Fuzzy multidimensional scaling
Multidimensional scaling (MDS) is a data analysis technique for representing measurements of (dis)similarity among pairs of objects as distances between points in a low-dimensiona...
Pierre-Alexandre Hébert, Marie-Hél&e...
IPPS
2006
IEEE
14 years 1 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...