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High Dimensional Data Visualization: Advances and Challenges

by Fisseha Gidey G., Charles Awono Onana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 10
Year of Publication: 2017
Authors: Fisseha Gidey G., Charles Awono Onana
10.5120/ijca2017913362

Fisseha Gidey G., Charles Awono Onana . High Dimensional Data Visualization: Advances and Challenges. International Journal of Computer Applications. 162, 10 ( Mar 2017), 23-27. DOI=10.5120/ijca2017913362

@article{ 10.5120/ijca2017913362,
author = { Fisseha Gidey G., Charles Awono Onana },
title = { High Dimensional Data Visualization: Advances and Challenges },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 10 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number10/27280-2017913362/ },
doi = { 10.5120/ijca2017913362 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:40.056714+05:30
%A Fisseha Gidey G.
%A Charles Awono Onana
%T High Dimensional Data Visualization: Advances and Challenges
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 10
%P 23-27
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent technological advances and availability of computing resources resulted in a massive growth of data size, dimensions and complexity. Data visualization is a good approach when dealing with large scale high dimensional datasets as it will provide the opportunity to understand what’s in the data and where to focus. However, the ever increasing dimensions of datasets, the physical limitations of the display screen (2D/3D), and the relatively small capacity of our mind to process complex data at a time pose a challenge in the process of visualization. This paper describe the advancements made so far in visualizing high dimensional data and the challenges that should be addressed in future researches.

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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Data Visualization Dimension Reduction PCA Sammon’s Mapping and MDS

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