4 citations · 10 across the 14 of their papers we have counts for
3 papers · 1 filter
An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering
Sharon M. McNicholas, Paul D. McNicholas, Daniel A. Ashlock
An evolutionary algorithm (EA) is developed as an alternative to the EM algorithm for parameter estimation in model-based clustering. This EA facilitates a different search of the…
ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions
Antonio Punzo, Angelo Mazza, Paul D. McNicholas
We introduce the R package ContaminatedMixt, conceived to disseminate the use of mixtures of multivariate contaminated normal distributions as a tool for robust clustering and clas…
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…