Visualization of graphical data in a user-specified 2D space using a weighted Isomap method

Jong Chul Yoon, In Kwon Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We present a visualization system for exploring the high-dimensional graphical data, such as textures or 3D models, in 2D space using the dimensionality reduction method. To arrange high-dimensional data in a meaningful 2D space, we develop a novel semi-supervised dimensionality reduction method that can embed data of high dimension in a user-defined 2D coordinate system that is meaningful in terms of the properties of the data. This is achieved by modifying the Isomap method by weighting the data so that the resulting coordinates have no degeneracies and are orthogonal.

Original languageEnglish
Pages (from-to)103-114
Number of pages12
JournalGraphical Models
Volume76
Issue number2
DOIs
Publication statusPublished - 2014 Mar 1

Fingerprint

Isomap
Visualization
Dimensionality Reduction
Reduction Method
Textures
High-dimensional Data
3D Model
Higher Dimensions
Weighting
Texture
High-dimensional
Graphics

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Geometry and Topology
  • Computer Graphics and Computer-Aided Design

Cite this

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Visualization of graphical data in a user-specified 2D space using a weighted Isomap method. / Yoon, Jong Chul; Lee, In Kwon.

In: Graphical Models, Vol. 76, No. 2, 01.03.2014, p. 103-114.

Research output: Contribution to journalArticle

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