Kohonen maps /
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 bee...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam ; New York :
Elsevier,
1999.
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| Edition: | 1st ed. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Physical Description: | 1 online resource (ix, 390 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780444502704 044450270X 9780080535296 0080535291 |