{"title":"BiETopti:使用优化的双聚类集成技术","authors":"Geeta Aggarwal, Neelima Gupta","doi":"10.1504/IJBRA.2017.10003485","DOIUrl":null,"url":null,"abstract":"Ensemble methods have been known to improve the quality of clusters/biclusters. We present in this paper an ensemble method for the biclustering problem using optimisation techniques. Extensive experiments performed on synthetic datasets and gene expression data have shown that the proposed method provides superior biclusters than the existing biclustering solutions most of the times.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BiETopti: biclustering ensemble technique using optimisation\",\"authors\":\"Geeta Aggarwal, Neelima Gupta\",\"doi\":\"10.1504/IJBRA.2017.10003485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ensemble methods have been known to improve the quality of clusters/biclusters. We present in this paper an ensemble method for the biclustering problem using optimisation techniques. Extensive experiments performed on synthetic datasets and gene expression data have shown that the proposed method provides superior biclusters than the existing biclustering solutions most of the times.\",\"PeriodicalId\":434900,\"journal\":{\"name\":\"Int. J. Bioinform. Res. Appl.\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Bioinform. Res. Appl.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJBRA.2017.10003485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Bioinform. Res. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBRA.2017.10003485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BiETopti: biclustering ensemble technique using optimisation
Ensemble methods have been known to improve the quality of clusters/biclusters. We present in this paper an ensemble method for the biclustering problem using optimisation techniques. Extensive experiments performed on synthetic datasets and gene expression data have shown that the proposed method provides superior biclusters than the existing biclustering solutions most of the times.