4 citations · 10 across the 12 of their papers we have counts for
5 papers · 1 filter
Skewed Distributions or Transformations? Modelling Skewness for a Cluster Analysis
Michael P. B. Gallaugher, Paul D. McNicholas, Volodymyr Melnykov +1
Because of its mathematical tractability, the Gaussian mixture model holds a special place in the literature for clustering and classification. For all its benefits, however, the G…
Defying the Circadian Rhythm: Clustering Participant Telemetry in the UK Biobank Data
Nikola Pocuca, Mark Farrell, Paul D. McNicholas
The UK Biobank dataset follows over 500,000 volunteers and contains a diverse set of information related to societal outcomes. Among this vast collection, a large quantity of telem…
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
Nikola Pocuca, Petar Jevtic, Paul D. McNicholas +1
In this paper, we propose two important extensions to cluster-weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted models (GCWMs) by allowing modeling…
Detecting British Columbia Coastal Rainfall Patterns by Clustering Gaussian Processes
Forrest Paton, Paul D. McNicholas
Functional data analysis is a statistical framework where data are assumed to follow some functional form. This method of analysis is commonly applied to time series data, where ti…
A Partial EM Algorithm for Clustering White Breads
Ryan P. Browne, Paul D. McNicholas, Christopher J. Findlay
The design of new products for consumer markets has undergone a major transformation over the last 50 years. Traditionally, inventors would create a new product that they thought m…