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» Data visualisation and manifold mapping using the ViSOM
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NN
2002
Springer
226views Neural Networks» more  NN 2002»
13 years 4 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
IDEAL
2004
Springer
13 years 10 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
NN
2008
Springer
101views Neural Networks» more  NN 2008»
13 years 4 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
IDEAL
2003
Springer
13 years 9 months ago
Nonlinear Multidimensional Data Projection and Visualisation
Abstract. Multidimensional data projection and visualisation are becoming increasingly important and have found wide applications in many fields such as decision support, bioinform...
Hujun Yin
ICCBR
2007
Springer
13 years 10 months ago
Case-Based Reasoning Adaptation for High Dimensional Solution Space
Case-Based Reasoning (CBR) is a methodology that reuses the solutions of previous similar problems to solve new problems. Adaptation is the most difficult stage in the CBR cycle, e...
Ying Zhang, Panos Louvieris, Maria Petrou