随机自组织映射变体与R包SOMbrero

2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM) Pub Date : 2017-06-01 DOI:10.1109/WSOM.2017.8020014

N. Villa-Vialaneix

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引用次数: 4

摘要

自组织地图(SOM)[]是一种流行的聚类和可视化算法。SOM算法的几种实现存在于不同的数学/统计软件中，主要的可能是SOM工具箱[2]。在本演讲中，我们将介绍一个R包SOMbrero，它实现了随机SOM算法的几个变体。该软件包包括几个诊断工具和图形解释的结果，并提供了一个完整的文档和例子。

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Stochastic self-organizing map variants with the R package SOMbrero

Self-Organizing Maps (SOM) [ ] are a popular clustering and visualization algorithm. Several implementations of the SOM algorithm exist in different mathematical/statistical softwares, the main one being probably the SOM Toolbox [2]. In this presentation, we will introduce an R package, SOMbrero, which implements several variants of the stochastic SOM algorithm. The package includes several diagnosis tools and graphics for interpretation of the results and is provided with a complete documentation and examples.

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2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)

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