• University College London Featured PhD Programmes
  • University of East Anglia Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Warwick Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
  • National University of Singapore Featured PhD Programmes
University of Birmingham Featured PhD Programmes
Newcastle University Featured PhD Programmes
University of Southampton Featured PhD Programmes
ESPCI Paris Tech Featured PhD Programmes
University of Warwick Featured PhD Programmes

Data Mining and Visualisation in High Dimensional Spaces

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

The mining and the visualisation of data in high dimensional feature spaces require the design of efficient algorithms. In high dimensional data spaces distance functions lose their usefulness and optimisation techniques, machine learning and data mining algorithms are very inefficient and ineffective. This problem is referred to as ’the curse of dimensionality’ and is caused by the exponential increase in volume associated with adding extra dimensions to a mathematical space. In general, dimensionality reduction is a fundamental methodology for the success of the knowledge discovery process in many real-world applications. For enquiries please contact . Keywords: Data Mining, Data Visualisation, Dimensionality Reduction

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully




Cookie Policy    X