Daphne Teck Ching Lai

lai

Role:

PhD Student

Qualifications:

BSc in Computer Science (Strathclyde),

MSc in Distributed Systems & Networks (Kent),

Office:

B38

Telephone:

+44 (0) 115 95 14299

Email:

dtl[at]cs.nott.ac.uk

Homepage:

http://ima.ac.uk/lai

Research

My research area is in semi-supervised Fuzzy clustering. I am currently investigating on the application of various initialisation techniques in semi-supervised Fuzzy c-Means algorithms.

Teaching & Supervision

My supervisors are Jon Garibaldi and Guoping Qiu

Esteem

Member of the Institution of Engineering and Technology (MIET)
Student Member of IEEE

Conference Papers
Author(s)	Title	Publisher	Page	Year
Daphne Teck Ching Lai, Jonathan M. Garibaldi	A Comparison of Distance-based Semi-Supervised Fuzzy c-Means Clustering Algorithms	2011 IEEE International Conference on Fuzzy Systems	1580 - 1586	2011

Intelligent Modelling and Analysis Research Group, School of Computer Science, The University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.

Research

Teaching & Supervision

Esteem

Conference Papers