{"title":"层次聚类分析在机器学习中的应用","authors":"Georgi Krastev, V. Voinohovska","doi":"10.1109/HORA52670.2021.9461277","DOIUrl":null,"url":null,"abstract":"The paper presents a classification of the methods for hierarchical clustering. A numerical sample is solved considering five objects, classified according to four attributes. Based on the applied methods a software program is developed for hierarchical clustering with a lot of opportunities for visualizing the results.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Hierarchical Cluster Analysis in The Machine Learning\",\"authors\":\"Georgi Krastev, V. Voinohovska\",\"doi\":\"10.1109/HORA52670.2021.9461277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a classification of the methods for hierarchical clustering. A numerical sample is solved considering five objects, classified according to four attributes. Based on the applied methods a software program is developed for hierarchical clustering with a lot of opportunities for visualizing the results.\",\"PeriodicalId\":270469,\"journal\":{\"name\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HORA52670.2021.9461277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA52670.2021.9461277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Hierarchical Cluster Analysis in The Machine Learning
The paper presents a classification of the methods for hierarchical clustering. A numerical sample is solved considering five objects, classified according to four attributes. Based on the applied methods a software program is developed for hierarchical clustering with a lot of opportunities for visualizing the results.