4 citations · 10 across the 19 of their papers we have counts for
3 papers · 1 filter
Variable Selection for Clustering and Classification
Jeffrey L. Andrews, Paul D. McNicholas
As data sets continue to grow in size and complexity, effective and efficient techniques are needed to target important features in the variable space. Many of the variable selecti…
Capturing Patterns via Parsimonious t Mixture Models
Tsung-I Lin, Paul D. McNicholas, Hsiu J. Ho
This paper exploits a simplified version of the mixture of multivariate t-factor analyzers (MtFA) for robust mixture modelling and clustering of high-dimensional data that frequent…
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…