Skip to main navigation Skip to search Skip to main content

Does 3D really make sense for visual cluster analysis? yes!

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE VIS International Workshop on 3DVis, 3DVis 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-44
Number of pages8
ISBN (Electronic)9781479968268
DOIs
StatePublished - Jul 15 2015
EventIEEE VIS International Workshop on 3DVis, 3DVis 2014 - Paris, France
Duration: Nov 9 2014 → …

Publication series

Name2014 IEEE VIS International Workshop on 3DVis, 3DVis 2014

Conference

ConferenceIEEE VIS International Workshop on 3DVis, 3DVis 2014
Country/TerritoryFrance
CityParis
Period11/9/14 → …

Keywords

  • high dimensional data
  • Multivariate data
  • subspace clustering

Fingerprint

Dive into the research topics of 'Does 3D really make sense for visual cluster analysis? yes!'. Together they form a unique fingerprint.

Cite this