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» Advances in Self-Organizing Maps
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IJON
2002
84views more  IJON 2002»
13 years 7 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 22 days ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
JMM2
2008
92views more  JMM2 2008»
13 years 7 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
ICPR
2006
IEEE
14 years 8 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das
EELC
2006
121views Languages» more  EELC 2006»
13 years 11 months ago
Simulating Meaning Negotiation Using Observational Language Games
In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communica...
Tiina Lindh-Knuutila, Timo Honkela, Krista Lagus