自组织映射适应MapReduce编程范式

Conference on Semantics in Text Processing Pub Date : 1900-01-01 DOI:10.1524/9783486853162.119

Christian Weichel

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引用次数: 5

摘要

我们提出了一种自组织映射(SOM)的改编，用于大量数据的聚类分析，如音乐分类或客户行为分析。该算法基于批量SOM公式，该公式已成功应用于其他并行架构，非常适合map reduce编程范式，从而可以使用Amazon EC2等大型云计算基础设施。

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Adapting Self-Organizing Maps to the MapReduce Programming Paradigm

We present an adaption of the self organizing map (SOM) useful for cluster analysis of large quantities of data such as music classification or customer behavior analysis. The algorithm is based on the batch SOM formulation which has been successfully adopted to other parallel architectures and perfectly suits the map reduce programming paradigm, thus enabling the use of large cloud computing infrastructures such as Amazon EC2.

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Conference on Semantics in Text Processing

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