Self Organizing Maps
Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those which tend to handle high dimensional data. SOM can be used for the clustering of genes in the medical field, the study of multi-media and web based contents and in the transportation industry, just to...
Збережено в:
| Формат: | Online |
|---|---|
| Мова: | Англійська |
| Опубліковано: |
IntechOpen
2023
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| Предмети: | |
| Онлайн доступ: | ONIX_20231201_9789533075464_54 |
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| _version_ | 1869529203442974720 |
|---|---|
| collection | Directory of Open Access Books |
| description | Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those which tend to handle high dimensional data. SOM can be used for the clustering of genes in the medical field, the study of multi-media and web based contents and in the transportation industry, just to name a few. Apart from the aforementioned areas this book also covers the study of complex data found in meteorological and remotely sensed images acquired using satellite sensing. Data management and envelopment analysis has also been covered. The application of SOM in mechanical and manufacturing engineering forms another important area of this book. The final section of this book, addresses the design and application of novel variants of SOM algorithms. |
| format | Online |
| id | doab-20.500.12854ir-128948 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1289482024-04-14T10:28:27Z Self Organizing Maps Igadwa Mwasiagi, Josphat Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems Kohonen Self Organizing Maps (SOM) has found application in practical all fields, especially those which tend to handle high dimensional data. SOM can be used for the clustering of genes in the medical field, the study of multi-media and web based contents and in the transportation industry, just to name a few. Apart from the aforementioned areas this book also covers the study of complex data found in meteorological and remotely sensed images acquired using satellite sensing. Data management and envelopment analysis has also been covered. The application of SOM in mechanical and manufacturing engineering forms another important area of this book. The final section of this book, addresses the design and application of novel variants of SOM algorithms. 2023-12-01T14:20:12Z 2023-12-01T14:20:12Z 2011 book ONIX_20231201_9789533075464_54 9789533075464 9789535145264 https://directory.doabooks.org/handle/20.500.12854/128948 eng image/jpeg n/a https://www.intechopen.com/books/33 https://mts.intechopen.com/storage/books/33/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/566 10.5772/566 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533075464 9789535145264 IntechOpen 716 open access |
| spellingShingle | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems Self Organizing Maps |
| title | Self Organizing Maps |
| title_full | Self Organizing Maps |
| title_fullStr | Self Organizing Maps |
| title_full_unstemmed | Self Organizing Maps |
| title_short | Self Organizing Maps |
| title_sort | self organizing maps |
| topic | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems |
| topic_facet | Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems |
| url | ONIX_20231201_9789533075464_54 |