{"title":"应用于Apache Spark框架的自动选择和配置聚类算法的方法","authors":"V. Kazakovtsev, Sergey Muravyov","doi":"10.1145/3503047.3503104","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":190604,"journal":{"name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of the automatic selection and configuration of clustering algorithms method for the Apache Spark framework\",\"authors\":\"V. Kazakovtsev, Sergey Muravyov\",\"doi\":\"10.1145/3503047.3503104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":190604,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Advanced Information Science and System\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Advanced Information Science and System\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3503047.3503104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Advanced Information Science and System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3503047.3503104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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