An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 072-204573-7041
- Type
- D - Journal article
- DOI
-
10.1007/s10732-019-09415-y
- Title of journal
- Journal Of Heuristics
- Article number
- -
- First page
- 933
- Volume
- 25
- Issue
- 6
- ISSN
- 1381-1231
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2019
- URL
-
https://link.springer.com/content/pdf/10.1007%2Fs10732-019-09415-y.pdf
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper explored the use of restricted growth functions to represent
clustering arrangements, and applied a model based clustering quality
metric as opposed to more traditional methods. The technique was an interesting
use of a continuous optimisation problem applied to the discrete domain.
This paper was from one of the core chapters of a PhD student's thesis (Jilani), who passed
with minimal changes. The ideas presented have been used to underpin the
research of three new PhD students (Ayed, OdeBode, Mann).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
