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CMA
2011
13 years 3 months ago
Detecting critical regions in multidimensional data sets
We propose a new approach, based on the Conley index theory, for the detection and classification of critical regions in multidimensional data sets. The use of homology groups ma...
Madjid Allili, David Corriveau, Sara Deriviè...
IDA
1999
Springer
14 years 1 months ago
3D Grand Tour for Multidimensional Data and Clusters
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
Li Yang
CSDA
2006
97views more  CSDA 2006»
13 years 8 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...
NN
2008
Springer
101views Neural Networks» more  NN 2008»
13 years 8 months ago
On multidimensional scaling and the embedding of self-organising maps
The self-organising map (SOM) and its variant, visualisation induced SOM (ViSOM), have been known to yield similar results to multidimensional scaling (MDS). However, the exact co...
Hujun Yin
ACIVS
2009
Springer
14 years 1 months 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