Jeffrey L. Andrews

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Random models for adjusting fuzzy rand index extensions.
Adv. Data Anal. Classif.
Ryan DeWolfe, Jeffrey L. Andrews
2023 J jnl
Assessing the variability of posterior probabilities in Gaussian model-based clustering.
Commun. Stat. Simul. Comput.
Yuchi Zhang, Ryan P. Browne, Jeffrey L. Andrews
2023 J jnl
Random Models for Fuzzy Clustering Similarity Measures.
CoRR
Ryan DeWolfe, Jeffrey L. Andrews
2022 J jnl
An artificial bee colony algorithm for mixture model-based clustering.
Commun. Stat. Simul. Comput.
Anthony E. Culos, Jeffrey L. Andrews, Hamid Afshari
2022 J jnl
On Assessments of Agreement Between Fuzzy Partitions.
J. Classif.
Jeffrey L. Andrews, Ryan P. Browne, Chelsey D. Hvingelby
2019 J jnl
Longitudinal linear combination test for gene set analysis.
BMC Bioinform.
Elham Khodayari Moez, Morteza Hajihosseini, Jeffrey L. Andrews, Irina Dinu
2018 J jnl
Addressing overfitting and underfitting in Gaussian model-based clustering.
Comput. Stat. Data Anal.
Jeffrey L. Andrews
2014 J jnl
Variable Selection for Clustering and Classification.
J. Classif.
Jeffrey L. Andrews, Paul D. McNicholas
2013 J jnl
Using evolutionary algorithms for model-based clustering.
Pattern Recognit. Lett.
Jeffrey L. Andrews, Paul D. McNicholas
2012 J jnl
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate t-distributions - The tEIGEN family.
Stat. Comput.
Jeffrey L. Andrews, Paul D. McNicholas
2011 J jnl
Extending mixtures of multivariate
Stat. Comput.
Jeffrey L. Andrews, Paul D. McNicholas
2011 J jnl
Model-based classification via mixtures of multivariate t-distributions.
Comput. Stat. Data Anal.
Jeffrey L. Andrews, Paul D. McNicholas, Sanjeena Subedi