Perbandingan Distance Metric pada Nearest Neighbour untuk Klasifikasi Sel Darah Putih

F. Kurniadi, Vinnia Kemala Putri
{"title":"Perbandingan Distance Metric pada Nearest Neighbour untuk Klasifikasi Sel Darah Putih","authors":"F. Kurniadi, Vinnia Kemala Putri","doi":"10.31937/TI.V11I1.932","DOIUrl":null,"url":null,"abstract":"White blood cells, have a function to protect human body from viruses, bacteria and any other harmful substance. In this research, Local Binary Pattern was proposed for feature extraction using Euclidean distance, Chebyshev distance and Minkowski distance as classifier.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultimatics : Jurnal Teknik Informatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31937/TI.V11I1.932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

White blood cells, have a function to protect human body from viruses, bacteria and any other harmful substance. In this research, Local Binary Pattern was proposed for feature extraction using Euclidean distance, Chebyshev distance and Minkowski distance as classifier.
白细胞具有保护人体免受病毒、细菌和其他有害物质侵害的功能。本研究采用欧几里得距离、切比雪夫距离和闵可夫斯基距离作为分类器,提出了局部二值模式进行特征提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信