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

Jong Chul Yoon; In Kwon Lee

doi:10.1016/j.gmod.2014.01.001

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

Jong Chul Yoon, In Kwon Lee

College of Computing

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	103-114
Number of pages	12
Journal	Graphical Models
Volume	76
Issue number	2
DOIs	https://doi.org/10.1016/j.gmod.2014.01.001
Publication status	Published - 2014 Mar

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0028568).

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1016/j.gmod.2014.01.001

Cite this

@article{0b8056a16aa14221aa5f5d7ce9f90cb5,

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

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.",

author = "Yoon, {Jong Chul} and Lee, {In Kwon}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0028568).",

year = "2014",

month = mar,

doi = "10.1016/j.gmod.2014.01.001",

language = "English",

volume = "76",

pages = "103--114",

journal = "Graphical Models",

issn = "1524-0703",

publisher = "Elsevier Inc.",

number = "2",

}

TY - JOUR

T1 - Visualization of graphical data in a user-specified 2D space using a weighted Isomap method

AU - Yoon, Jong Chul

AU - Lee, In Kwon

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2011-0028568).

PY - 2014/3

Y1 - 2014/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84894230285&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894230285&partnerID=8YFLogxK

U2 - 10.1016/j.gmod.2014.01.001

DO - 10.1016/j.gmod.2014.01.001

M3 - Article

AN - SCOPUS:84894230285

SN - 1524-0703

VL - 76

SP - 103

EP - 114

JO - Graphical Models

JF - Graphical Models

IS - 2

ER -

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this