应用于Apache Spark框架的自动选择和配置聚类算法的方法

Proceedings of the 3rd International Conference on Advanced Information Science and System Pub Date : 2021-11-26 DOI:10.1145/3503047.3503104

V. Kazakovtsev, Sergey Muravyov

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引用次数: 0

摘要

本文提出了MASSCAH方法实现Apache Spark聚类算法的选择和配置。通过对其中一个聚类质量度量进行优化来配置算法。在这项研究的过程中，额外的聚类质量度量被实现，不包括在Apache Spark框架中，因为目前只有轮廓标准在框架中可用。

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Application of the automatic selection and configuration of clustering algorithms method for the Apache Spark framework

This article proposes the MASSCAH method realization for Apache Spark clustering algorithms selection and configuration. Optimization of one of the clustering quality measures is used to configure the algorithm. In the course of this study, additional clustering quality measures were implemented that are not included in the Apache Spark framework, since at the moment only the silhouette criterion is available in the framework.

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Proceedings of the 3rd International Conference on Advanced Information Science and System

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