iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction

Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

80 Citations (Scopus)

Abstract

We present an interactive visual analytics system for classification, iVisClassifier, based on a supervised dimension reduction method, linear discriminant analysis (LDA). Given high-dimensional data and associated cluster labels, LDA gives their reduced dimensional representation, which provides a good overview about the cluster structure. Instead of a single two- or three-dimensional scatter plot, iVisClassifier fully interacts with all the reduced dimensions obtained by LDA through parallel coordinates and a scatter plot. Furthermore, it significantly improves the interactivity and interpretability of LDA. LDA enables users to understand each of the reduced dimensions and how they influence the data by reconstructing the basis vector into the original data domain. By using heat maps, iVisClassifier gives an overview about the cluster relationship in terms of pairwise distances between cluster centroids both in the original space and in the reduced dimensional space. Equipped with these functionalities, iVisClassifier supports users' classification tasks in an efficient way. Using several facial image data, we show how the above analysis is performed.

Original languageEnglish
Title of host publicationVAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings
Pages27-34
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st IEEE Conference on Visual Analytics Science and Technology, VAST 10 - Salt Lake City, UT, United States
Duration: 2010 Oct 242010 Oct 29

Publication series

NameVAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings

Conference

Conference1st IEEE Conference on Visual Analytics Science and Technology, VAST 10
CountryUnited States
CitySalt Lake City, UT
Period10/10/2410/10/29

Keywords

  • H.5.2 [information interfaces and presentation]: user interfaces - theory and methods

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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    Choo, J., Lee, H., Kihm, J., & Park, H. (2010). iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. In VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings (pp. 27-34). [5652443] (VAST 10 - IEEE Conference on Visual Analytics Science and Technology 2010, Proceedings). https://doi.org/10.1109/VAST.2010.5652443