Event Details

STOR-i Masterclass, Professor Brendan Murphy, University College Dublin - Model-Based Clustering and Classification

Model-Based Clustering and Classification

Cluster analysis finds groups in data automatically. Many methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers?Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This course frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code.

Monday 17 February

14:00-16:00 Lecture1 Welcome Centre LT4 (A22)

Tuesday 18 February

10:00-12:00 Lecture2 Furness LT3

14:00-16:00 Lecture3 A74 FST Training Room 2 (Science & Technology)