Dr Katie YatesPhD student
I completed my undergraduate degree in Mathematics at the University of Salford in 2013 where I achieved a BSc First Class (Hons). During this time I developed an interest in statistics and operational research. My final year project incorporated these interests via analysing the potential benefits to road safety with respect to further driver training and the effects of different road junction designs. This was achieved by statistical modelling. Following this I decided to join the STOR-i programme in 2013.
I am currently in the first year of my PhD and my project concerns the development of clustering methodology allowing the analysis of high dimensional, evolutionary datasets. This project is jointly supervised by Nicos Pavlidis and Chris Sherlock.
Low-Density Cluster Separators for Large, High-Dimensional, Mixed and Non-Linearly Separable Data.
Yates, K. 2018 Lancaster University. 218 p.
Minimum density hyperplanes in the feature space
Yates, K., Pavlidis, N.G. 11/02/2017 In: Big Data (Big Data), 2016 IEEE International Conference on. IEEE p. 3613-3618. 6 p. ISBN: 9781467390064. Electronic ISBN: 9781467390057.
- Modelling and Inference
- STOR-i Centre for Doctoral Training