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Kohonen maps

 By Erkki Oja, Samuel Kaski

Kohonen maps

Front Cover
Elsevier, 1999 - Computers - 390 pages
The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm.


The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed.

  

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Selected pages

Contents

Demographic study of the Rhône valley The domestic consumption of the Canadian families
1
Finding value in markets that are expensive
15
Chapter 3 Data mining and knowledge discovery with emergent SelfOrganizing Feature Maps for multivariate time series ...
33
Chapter 4 From aggregation operators to soft Learning Vector Quantization and clustering algorithms ...
47
Chapter 5 Active learning in SelfOrganizing Maps
57
Chapter 6 Point prototype generation and classifier design
71
Chapter 7 SelfOrganizing Maps on nonEuclidean spaces
97
Chapter 8 SelfOrganising Maps for pattern recognition
111
An approach to optimize surface component mounting on a printed circuit board
219
Chapter 18 SelfOrganising Maps in computer aided design of electronic circuits
231
Chapter 19 Modeling selforganization in the visual cortex
243
Chapter 20 A spatiotemporal memory based on SOMs with activity diffusion
253
Chapter 21 Advances in modeling cortical maps
267
Chapter 22 Topology preservation in SelfOrganizing Maps
279
Chapter 23 Secondorder learning in SelfOrganizing Maps
293
Chapter 24 Energy functions for SelfOrganizing Maps
303

Chapter 9 Tree structured SelfOrganizing Maps
121
Chapter 10 Growing selforganizing networks history status quo and perspectives
131
Chapter 11 Kohonen SelfOrganizing Map with quantized weights
145
Chapter 12 On the optimization of SelfOrganizing Maps by genetic algorithms
157
Chapter 13 Self organization of a massive text document collection
171
Chapter 14 Document classification with SelfOrganizing Maps
183
Chapter 15 Navigation in databases using SelfOrganising Maps
197
Chapter 16 A SOMbased sensing approach to robotic manipulation tasks
207
Chapter 25 LVQ and single trial EEG classification
317
Chapter 26 SelfOrganizing Map in categorization of voice qualities
329
A worked example of the analysis of cosmetics using Raman spectroscopy
335
Chapter 28 SelfOrganizing Maps for contentbased image database retrieval
349
Chapter 29 Indexing audio documents by using latent semantic analysis and SOM
363
Chapter 30 SelfOrganizing Map in analysis of largescale industrial systems
375
Keyword index
389
Copyright

Common terms and phrases

1999 Elsevier Science activity analysis Artificial Neural Networks autoencoder average B.V. All rights classes classification components corresponding cortex Data Mining data set database defined dimension dimensional dissimilarity distance document classification editors 1999 Elsevier Elsevier Science B.V. energy function error Euclidean Euclidean distance feature vectors Figure Gaussian grid Hebbian learning hyperbolic IEEE input space iteration Kaski Kohonen Maps labeled lateral connections lattice layer learning rate learning rule learning vector quantization lipsticks matrix measure method neighborhood function neighboring Neural Computation neurons nodes obtained optimization output space parameters pattern PicSOM principal curve problem prototypes query Raman receptive fields reformulation function representation represented retrieval sample scheduling selection Self-Organizing Feature Maps self-organizing map signals similar SOMs spectra structure temporal Teuvo Kohonen topology topology preservation TS-SOM two-dimensional unit unsupervised learning update variables vector quantization visual Voronoi Voronoi diagram weight vector winner

Popular passages

Page 362 - Visualseek: A fully automated content-based image query system," in Proceedings of ACM Multimedia, (Boston, MA), Nov.‎
Appears in 125 books from 1957-2008
Page 374 - Renals. The Use of Recurrent Neural Networks in Continuous Speech Recognition. In CH Lee, KK Paliwal, and FK Soong, editors, Automatic Speech and Speaker Recognition - Advanced Topics, chapter 19. Kluwer Academic Publishers, 1995.‎
Appears in 10 books from 1996-2003
Page 362 - T. Honkela, S. Kaski, K. Lagus, and T. Kohonen, "WEBSOM — self-organizing maps of document collections,‎
Appears in 18 books from 1989-2008

References to this book

From other books

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From Google Scholar

Bibliography of Self-Organizing Map (SOM) Papers: 1998-2001 Addendum
Merja Oja, Samuel Kaski, Teuvo Kohonen
Formalizing Semantic Spaces for Information Access
Sara Irina Fabrikant, Barbara P Buttenfield - 2001 - Annals of the Association of American Geographers
A Neural Classifier Enabling High-Throughput Topological Analysis ...
Tim W Nattkemper, Helge J Ritter, Walter Schubert - 2001 - IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
Generative Probability Density Model in the Self-Organizing Map
Jouko Lampinen, Timo Kostiainen
All Scholar search results »

References from web pages

Kohonen Maps - Elsevier
Kohonen Maps. Book information. Product description .... Kohonen Maps. Other book contents. Table of contents · Preface & foreword. Reviews ...
www.elsevier.com/ wps/ find/ bookpreface.cws_home/ 620326/ preface

Winner-relaxing and winner-enhancing Kohonen maps: Maximal mutual ...
Kohonen Maps: Maximal Mutual Information. from Enhancing the Winner. JENS CHRISTIAN CLAUSSEN. Institut für Theoretische Physik und Astrophysik, ...
doi.wiley.com/ 10.1002/ cplx.10084

sciencedirect - Kohonen Maps Home Page
sciencedirect - the world's leading platform offers over 2000 high quality peer-reviewed full-text journals and books on science, technology and medicine
www.science-direct.com/ science/ book/ 9780444502704

arxiv:cond-mat/0609513 v1 20 Sep 2006
Winner-Relaxing and Winner-Enhancing Kohonen Maps ..... Kohonen Maps, Elsevier (1999). [21] jc Claussen (2002), Generalized Winner Relaxing Kohonen ...
arxiv.org/ pdf/ cond-mat/ 0609513

ACTA Press • ACTA Search
In Kohonen Maps, pages 5770, 1999. [5] T. Kohonen. Self-Organizing Maps. ... In E Oja and S Kaski, editors, Kohonen Maps, pages 171–182. ...
www.actapress.com/ searchindex.aspx?query=kohonen& start=60

Second-Order Learning in Self-Organizing Maps - Der, Herrmann ...
In Oja, E. and Kaski, S., editors, Kohonen Maps, pages 293--302. Elsevier, Amsterdam. http://citeseer.ist.psu.edu/639841.html More ...
citeseer.ist.psu.edu/ 639841.html

Miscellaneous publications of Samuel Kaski
In Erkki Oja and Samuel Kaski, editors, Kohonen Maps, pages 171--182. Elsevier, Amsterdam, 1999. (abstract, the book). Krista Lagus and Samuel Kaski. ...
www.cis.hut.fi/ sami/ therest.html

Winner-Relaxing Self-Organizing Maps
Winner relaxing and winner-enhancing Kohonen maps: Maximal mutual information from ... In E. Oja & S. Kaski (Eds.), Kohonen maps. Amsterdam: Elsevier. ...
portal.acm.org/ citation.cfm?id=1118518

Winner-Relaxing Self-Organizing Maps
Winner relaxing and winner-enhancing Kohonen maps: Max-. imal mutual information from enhancing the winner. Complexity, 8(4), 15–22. ...
neco.mitpress.org/ cgi/ reprint/ 17/ 5/ 996.pdf

Geography Matters: Kohonen Classification of Determinants of ...
Specifically, the analysis employs Kohonen maps to seek structures in a set of ... Kohonen maps are known to be "topology preserving", so that observations ...
www.questia.com/ PM.qst?a=o& se=gglsc& d=5001976475

Places mentioned in this book  Maps  KML

395 Main Street, Salem, NH - Page 338
1800 N. Main St., Gainesville, FL 32609 - Page 253
24 Prime Park Way, Natick, MA - Page 338
Cambridge, MA - Page 362
Master's thesis, MIT, Cambridge, MA, 1996. 5. JR Smith and S.-F. Chang. VisualSEEk: A fully automated content-based image query system. ...
more pages: 70 195
Monte Carlo - Page 64
Leipzig - Page 289
Norwell, MA - Page 94
Piscataway, NJ - Page 291
more pages: 169 302
San Mateo, California - Page 168
Reading, MA - Page 195
San Marino - Page 188
San Diego - Page 362
In Proceedings of 1990 International Joint Conference on Neural Networks, volume II, pages 279-284, San Diego, CA, 1990. ...
more pages: 44 109 242
Hillsdale, NJ - Page 251
more pages: 252
New York - Page 56
more pages: 143 182 252 315 347
Lausanne - Page 144
Houston, Texas 77204 - Page 47
San Francisco, CA - Page 194
more pages: 315
Brussels - Page 168
Oxford - Page 346
Chicago, IL - Page 194
Philadelphia, PA - Page 194
San Jose, CA - Page 362
In Storage and Retrieval for Image and Video Databases III (SPIE), volume 2420 of SPIE Proceedings Series, San Jose, CA, February 1995. ...
Portland, OR - Page 194
Pittsburgh, PA - Page 195
Toronto - Page 109
Moscow - Page 205
Amsterdam - Page 314
Anchorage, AK - Page 56
Austin, TX - Page 251
Boston, MA - Page 362
In Proceedings of the ACM Multimedia 1996, Boston, MA, 1996. 6. JR Smith and S.-F. Chang. Searching for images and videos on the world-wide web. ...
Nagoya - Page 291
Singapore - Page 143

About the author (1999)

AAPO HYVARINEN, PhD, is Senior Fellow of the Academy of Finland and works at the Neural Networks Research Center of Helsinki University of Technology in Finland.
JUHA KARHUNEN and ERKKI OJA are professors at the Neural Networks Research Center of Helsinki University of Technology in Finland.

Bibliographic information

TitleKohonen maps
AuthorsErkki Oja, Samuel Kaski
EditorsErkki Oja, Samuel Kaski
Editionillustrated
PublisherElsevier, 1999
ISBN044450270X, 9780444502704
Length390 pages
SubjectsComputers / Networking / General
Computers / Neural Networks
Computers / System Administration / Storage & Retrieval
Mathematics / Probability & Statistics / General
Medical / Neuroscience
Neural networks (Computer science)
Science / System Theory
Self-organizing maps