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ACSC
2005
IEEE
15 years 3 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
78
Voted
NN
2006
Springer
127views Neural Networks» more  NN 2006»
14 years 9 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
DATAMINE
1999
140views more  DATAMINE 1999»
14 years 9 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
NECO
2000
95views more  NECO 2000»
14 years 9 months ago
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
RF-LISSOM, a self-organizing model of laterally connected orientation maps in the primary visual cortex, was used to study the psychological phenomenon known as the tilt aftereffe...
James A. Bednar, Risto Miikkulainen
87
Voted
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
15 years 1 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...