ScagnosticsJS:扩展的Web散点图视觉特征

Vung V. Pham, Tommy Dang
{"title":"ScagnosticsJS:扩展的Web散点图视觉特征","authors":"Vung V. Pham, Tommy Dang","doi":"10.2312/egs.20201022","DOIUrl":null,"url":null,"abstract":"Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is no formally published implementation for 3D or higher. This project aims to provide the Scagnostics implementation in JavaScript, called ScagnosticsJS, and also extend these measures for higher dimensional scattered points. We also present a Scagnostics exploration webpage, which makes the underlying algorithms transparent to users.","PeriodicalId":72958,"journal":{"name":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","volume":"15 1","pages":"77-80"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"ScagnosticsJS: Extended Scatterplot Visual Features for the Web\",\"authors\":\"Vung V. Pham, Tommy Dang\",\"doi\":\"10.2312/egs.20201022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is no formally published implementation for 3D or higher. This project aims to provide the Scagnostics implementation in JavaScript, called ScagnosticsJS, and also extend these measures for higher dimensional scattered points. We also present a Scagnostics exploration webpage, which makes the underlying algorithms transparent to users.\",\"PeriodicalId\":72958,\"journal\":{\"name\":\"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval\",\"volume\":\"15 1\",\"pages\":\"77-80\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2312/egs.20201022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurographics ... Workshop on 3D Object Retrieval : EG 3DOR. Eurographics Workshop on 3D Object Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/egs.20201022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

散点分布是一组特征,用来描述数据在散点图中的分布。这些视觉特征已在各种应用中用于检测双变量数据的异常相关性。然而,目前还没有正式发布的3D或更高版本的实现。该项目旨在提供Scagnostics在JavaScript中的实现,称为ScagnosticsJS,并将这些措施扩展到更高维度的分散点。我们还提出了一个Scagnostics探索网页,这使得底层算法对用户透明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ScagnosticsJS: Extended Scatterplot Visual Features for the Web
Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is no formally published implementation for 3D or higher. This project aims to provide the Scagnostics implementation in JavaScript, called ScagnosticsJS, and also extend these measures for higher dimensional scattered points. We also present a Scagnostics exploration webpage, which makes the underlying algorithms transparent to users.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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