MULTI-RESOLUTION VISUALIZATION OF DATA WITH SELF-ORGANIZING MAPS

Prentis P.

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MULTI-RESOLUTION VISUALIZATION OF DATA WITH SELF-ORGANIZING MAPS

机译：具有自组织映射的数据的多分辨率可视化

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This paper discusses the cluster analysis and visualisation tool, the self-organizing map (SOM). The pros and cons of different network sizes are discussed, in particular how they are suited to the purposes of direct data browsing and also the cluster analysis with U-matrices. The tree-structured SOM (TS-SOM) is proposed as a method of acquiring multi-resolution/multi-purpose mappings of a given input space. The TS-SOM is discussed in detail and a novel modification to the algorithm that improves its reliability as a multi-resolution visualization method is presented.

机译：本文讨论了聚类分析和可视化工具，即自组织图（SOM）。讨论了不同网络规模的利弊，特别是它们如何适合于直接数据浏览以及使用U矩阵进行聚类分析的目的。提出树形SOM（TS-SOM）作为一种获取给定输入空间的多分辨率/多用途映射的方法。对TS-SOM进行了详细讨论，并提出了对该算法的新颖修改，以改进其作为多分辨率可视化方法的可靠性。

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来源
《Neural Network World》 |2006年第5期|p.399-410|共12页
作者
Prentis P.;
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作者单位

Department of Mathematics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Trojanova 13, 120 00 Prague 2, Czech Republic;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
cluster analysis; self-organizing maps; TS-SOM;

机译：聚类分析;自组织图;TS-SOM;
入库时间 2022-08-18 02:08:14

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7. DATA VISUALIZATION OF ASYMMETRIC DATA USING SAMMON MAPPING AND APPLICATIONS OF SELF-ORGANIZING MAPS [O] . Li Haiyan 2005

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MULTI-RESOLUTION VISUALIZATION OF DATA WITH SELF-ORGANIZING MAPS

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