{"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}
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.
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