{"title":"使用自组织树的图分解","authors":"Nhat-Quang Doan, Hanene Azzag, M. Lebbah","doi":"10.1109/IV.2012.49","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new approach for graph decomposition using topological and hierarchical partitioning of data. Our method called GD-SOM-Tree (Graph Decomposition using Self-Organizing Trees) is based on self-organizing models. The benefit of this novel approach is to represent and visualize hierarchical relations which replace the original graph with a summary and gives a good understanding of the underlying problem.","PeriodicalId":264951,"journal":{"name":"2012 16th International Conference on Information Visualisation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Graph Decomposition Using Self-organizing Trees\",\"authors\":\"Nhat-Quang Doan, Hanene Azzag, M. Lebbah\",\"doi\":\"10.1109/IV.2012.49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new approach for graph decomposition using topological and hierarchical partitioning of data. Our method called GD-SOM-Tree (Graph Decomposition using Self-Organizing Trees) is based on self-organizing models. The benefit of this novel approach is to represent and visualize hierarchical relations which replace the original graph with a summary and gives a good understanding of the underlying problem.\",\"PeriodicalId\":264951,\"journal\":{\"name\":\"2012 16th International Conference on Information Visualisation\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 16th International Conference on Information Visualisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2012.49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 16th International Conference on Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2012.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present a new approach for graph decomposition using topological and hierarchical partitioning of data. Our method called GD-SOM-Tree (Graph Decomposition using Self-Organizing Trees) is based on self-organizing models. The benefit of this novel approach is to represent and visualize hierarchical relations which replace the original graph with a summary and gives a good understanding of the underlying problem.
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