View Proposal

Proposer
Mike Chantler
Title
Multidimensional data visualisation in d3.js
Goal
To develop a web app that allows intuitive investigation of different dimensionality reduction techniques for 2d projection of data cluseters
Description
There is a confusing plethora of dimensionality reduction methods that project multidimensional data into 2D with the aim of making trends or clusters more obvious to the viewer. This project would develop a web app that would evaluate such dimensionality reduction methods, choose the best ones, and show the results in multiple windows to allow a user to quickly navigate potential reduction methods.
Resources
Background
See Okada K, Itoh T. Scatterplot selection for dimensionality reduction in multidimensional data visualization. Journal of Visualization. 2024 Aug 23:1-7.
Url
External Link
Difficulty Level
High
Ethical Approval
Full
Number Of Students
1
Supervisor
Mike Chantler
Keywords
visualisation, javascript, d3, data analysis,
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Bachelor of Science in Computer Science (Cyber Security)
Bachelor of Science in Statistical Data Science
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