Dr Richard Hyde

PhD student

Research Overview

Advanced Analysis and Visualisation Techniques for Atmospheric Data

Computationally and memory efficient clustering techniques for use with Big Data and fully autonomous clustering techniques requiring no user input or prior knowledge of the data.

Fully online clustering of evolving data streams into arbitrarily shaped clusters
Hyde, R., Angelov, P., MacKenzie, A.R. 03/2017 In: Information Sciences. 382-383, p. 96-114. 19 p.
Journal article

Co-ordinated Airborne Studies in the Tropics (CAST)
Harris, N.R.P., Carpenter, L.J., Lee, J.D., Vaughan, G., Filus, M.T., Jones, R.L., OuYang, B., Pyle, J.A., Robinson, A.D., Andrews, S.J., Lewis, A.C., Minaeian, J., Vaughan, A., Dorsey, J.R., Gallagher, M.W., Le Breton, M., Newton, R., Percival, C.J., Ricketts, H.M.A., Baugitte, S.J., Nott, G.J., Wellpott, A., Ashfold, M.J., Flemming, J., Butler, R., Palmer, P.I., Kaye, P.H., Stopford, C., Chemel, C., Boesch, H., Humpage, N., Vick, A., MacKenzie, A.R., Hyde, R., Angelov, P., Meneguz, E., Manning, A.J. 01/2017 In: Bulletin of the American Meteorological Society. 98, 1, p. 145-162. 18 p.
Journal article

Advanced analysis and visualisation techniques for atmospheric data
Hyde, R.W. 2017 Lancaster University. 226 p.
Doctoral Thesis

A new online clustering approach for data in arbitrary shaped clusters
Hyde, R., Angelov, P. 24/06/2015 In: Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on . IEEE p. 228-233. 6 p.

A fully autonomous data density based clustering algorithm
Hyde, R., Angelov, P. 9/12/2014 In: Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. Piscataway, N.J. : IEEE p. 116-123. 8 p.

Data density based clustering
Hyde, R., Angelov, P. 8/09/2014 In: Computational Intelligence (UKCI), 2014 14th UK Workshop on. IEEE p. 1-7. 7 p.