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Self-organizing map
Known as:
SOFM
, Self organizing maps
, Self-organising map
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A self-organizing map (SOM) or self-organising feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised…
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Related topics
Related topics
50 relations
Approximation error
Artificial neural network
Backpropagation
Bioinformatics
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Visual Predictions of Currency Crises Using Self-Organizing Maps
Peter Sarlin
,
Dorina Marghescu
IEEE International Conference on Data Mining…
2010
Corpus ID: 17687367
Throughout the 1990s, four global waves of financial turmoil occurred. The beginning of the 21st century has also suffered from…
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2005
2005
Geodesic self-organizing map
Y. Wu
,
M. Takatsuka
IS&T/SPIE Electronic Imaging
2005
Corpus ID: 16738537
Self-Organizing map (SOM) is a widely used tool to find clustering and also to visualize high dimensional data. Several spherical…
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Highly Cited
2004
Highly Cited
2004
Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis
Bo-Suk Yang
,
Tian Han
,
Yong-Su Kim
Expert systems with applications
2004
Corpus ID: 2107606
Highly Cited
2002
Highly Cited
2002
Distance Matrix Based Clustering of the Self-Organizing Map
Juha Vesanto
,
M. Sulkava
International Conference on Artificial Neural…
2002
Corpus ID: 16149837
Clustering of data is one of the main applications of the Self-Organizing Map (SOM). U-matrixis a commonly used technique to…
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Highly Cited
2001
Highly Cited
2001
Hyperbolic Self-Organizing Maps for Semantic Navigation
Jörg Ontrup
,
H. Ritter
Neural Information Processing Systems
2001
Corpus ID: 5855017
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a…
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2000
2000
TASOM: the time adaptive self-organizing map
H. Shah-Hosseini
,
R. Safabakhsh
Proceedings of the International Conference on…
2000
Corpus ID: 35002079
The time-decreasing learning rate and neighborhood function of the basic SOM (self-organizing map) algorithm reduce its…
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1999
1999
A Web text mining approach based on self-organizing map
Chung-Hong Lee
,
Hsin-Chang Yang
ACM International Workshop on Web Information and…
1999
Corpus ID: 34260109
Web text mining is a new issue in the knowledge discovery research field. It is aimed to help people discover knowledge from…
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1999
1999
Automatic labeling of self-organizing maps for information retrieval
D. Merkl
,
A. Rauber
ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th…
1999
Corpus ID: 15218899
The self-organizing map is a very popular unsupervised neural network model for the analysis of high-dimensional input data as in…
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Highly Cited
1998
Highly Cited
1998
The Self-Organizing Map of Trees
M. Peura
Neural Processing Letters
1998
Corpus ID: 9098698
In the standard version of the Self-Organizing Map, each neuron is associated with a vector. An extension using trees instead of…
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Highly Cited
1989
Highly Cited
1989
Self-Organizing Maps for Spatial and Temporal AR Models
J. Lampinen
,
E. Oja
1989
Corpus ID: 6805333
A method is given for unsupervised segmentation and classification of 1D and 2D signals. The method is based on a self-organizing…
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