| 书目名称 | Self-Organizing Maps | | 编辑 | Teuvo Kohonen | | 视频video | | | 概述 | Best-selling key reference.Completely revised and brought up-to-date.Includes supplementary material: | | 丛书名称 | Springer Series in Information Sciences | | 图书封面 |  | | 描述 | Since the second edition of this book came out in early 1997, the number of scientific papers published on the Self-Organizing Map (SOM) has increased from about 1500 to some 4000. Also, two special workshops dedicated to the SOM have been organized, not to mention numerous SOM sessions in neural network conferences. In view of this growing interest it was felt desirable to make extensive revisions to this book. They are of the following nature. Statistical pattern analysis has now been approached more carefully than earlier. A more detailed discussion of the eigenvectors and eigenvalues of symmetric matrices, which are the type usually encountered in statistics, has been included in Sect. 1.1.3: also, new probabilistic concepts, such as factor analysis, have been discussed in Sect. 1.3.1. A survey of projection methods (Sect. 1.3.2) has been added, in order to relate the SOM to classical paradigms. Vector Quantization is now discussed in one main section, and derivation of the pointdensity of the codebook vectors using the calculus of variations has been added, in order to familiarize the reader with this otherwise com plicated statistical analysis. It was also felt that the dis | | 出版日期 | Book 2001Latest edition | | 关键词 | Adaptive and Learning Networks; Adaptive und Lernende Netze; CON_D044; Cluster Analysis; Klassifikator; K | | 版次 | 3 | | doi | https://doi.org/10.1007/978-3-642-56927-2 | | isbn_softcover | 978-3-540-67921-9 | | isbn_ebook | 978-3-642-56927-2Series ISSN 0720-678X | | issn_series | 0720-678X | | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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发表于 2025-3-21 16:50:04
