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» Clustering functional data with the SOM algorithm
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ESANN
2004
14 years 11 months ago
Fast semi-automatic segmentation algorithm for Self-Organizing Maps
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
David Opolon, Fabien Moutarde
ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
15 years 3 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu
ESANN
2004
14 years 11 months ago
Forbidden Magnification? I
This paper presents some interesting results obtained by the algorithm by Bauer, Der and Hermann (BDH) [1] for magnification control in Self-Organizing Maps. Magnification control ...
Abha Jain, Erzsébet Merényi
IGPL
2011
14 years 4 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 1 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani