{"title":"3D对视觉聚类分析真的有意义吗?是的!","authors":"B. Wang, K. Mueller","doi":"10.1109/3DVis.2014.7160098","DOIUrl":null,"url":null,"abstract":"Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the extension from the traditional 2D space to 3D space is indeed justified - most datasets we studied had clusters residing in subspaces with more than two significant principal components. We then describe an interactive interface that allows users to navigate these 3D subspaces, expand the exploration to higher dimensionalities, and also transition among the distinct subspaces inhabited by different clusters in the data.","PeriodicalId":246346,"journal":{"name":"2014 IEEE VIS International Workshop on 3DVis (3DVis)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Does 3D really make sense for visual cluster analysis? yes!\",\"authors\":\"B. Wang, K. Mueller\",\"doi\":\"10.1109/3DVis.2014.7160098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the extension from the traditional 2D space to 3D space is indeed justified - most datasets we studied had clusters residing in subspaces with more than two significant principal components. We then describe an interactive interface that allows users to navigate these 3D subspaces, expand the exploration to higher dimensionalities, and also transition among the distinct subspaces inhabited by different clusters in the data.\",\"PeriodicalId\":246346,\"journal\":{\"name\":\"2014 IEEE VIS International Workshop on 3DVis (3DVis)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE VIS International Workshop on 3DVis (3DVis)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DVis.2014.7160098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE VIS International Workshop on 3DVis (3DVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DVis.2014.7160098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Does 3D really make sense for visual cluster analysis? yes!
Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the extension from the traditional 2D space to 3D space is indeed justified - most datasets we studied had clusters residing in subspaces with more than two significant principal components. We then describe an interactive interface that allows users to navigate these 3D subspaces, expand the exploration to higher dimensionalities, and also transition among the distinct subspaces inhabited by different clusters in the data.