{"title":"用于分类的持久性内核:比较研究","authors":"Cinzia Bandiziol, Stefano De Marchi","doi":"arxiv-2408.07090","DOIUrl":null,"url":null,"abstract":"The aim of the present work is a comparative study of different persistence\nkernels applied to various classification problems. After some necessary\npreliminaries on homology and persistence diagrams, we introduce five different\nkernels that are then used to compare their performances of classification on\nvarious datasets. We also provide the Python codes for the reproducibility of\nresults.","PeriodicalId":501119,"journal":{"name":"arXiv - MATH - Algebraic Topology","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Persistence kernels for classification: A comparative study\",\"authors\":\"Cinzia Bandiziol, Stefano De Marchi\",\"doi\":\"arxiv-2408.07090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the present work is a comparative study of different persistence\\nkernels applied to various classification problems. After some necessary\\npreliminaries on homology and persistence diagrams, we introduce five different\\nkernels that are then used to compare their performances of classification on\\nvarious datasets. We also provide the Python codes for the reproducibility of\\nresults.\",\"PeriodicalId\":501119,\"journal\":{\"name\":\"arXiv - MATH - Algebraic Topology\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Algebraic Topology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.07090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Algebraic Topology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.07090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Persistence kernels for classification: A comparative study
The aim of the present work is a comparative study of different persistence
kernels applied to various classification problems. After some necessary
preliminaries on homology and persistence diagrams, we introduce five different
kernels that are then used to compare their performances of classification on
various datasets. We also provide the Python codes for the reproducibility of
results.