In this contribution we present extensions of the Self Organizing Map and clustering methods for the categorization and visualization of data which are described by matrices rather than feature vectors. Rows and Columns of these matrices correspond to objects which may or may not belong to the same
โฆ LIBER โฆ
Analysis of data clusters obtained by self-organizing methods
โ Scribed by V.V Gafiychuk; B.Yo Datsko; J Izmaylova
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 237 KB
- Volume
- 341
- Category
- Article
- ISSN
- 0378-4371
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