A robust approach to model-based classification based on trimming and constraints

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise

(2018) Ronaldo C. Prati et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Robust inference for parsimonious model-based clustering

(2018) Francesco Dotto et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods

(2017) Andrea Cerioli et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

A reweighting approach to robust clustering

(2017) Francesco Dotto et al.   STATISTICS AND COMPUTING

The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers

(2016) Luis Angel García-Escudero et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

tclust: AnRPackage for a Trimming Approach to Cluster Analysis

(2015) Heinrich Fritz et al.   Journal of Statistical Software

Avoiding spurious local maximizers in mixture modeling

(2014) L. A. García-Escudero et al.   STATISTICS AND COMPUTING

A constrained robust proposal for mixture modeling avoiding spurious solutions

(2013) L. A. García-Escudero et al.   Advances in Data Analysis and Classification

Estimating common principal components in high dimensions

(2013) Ryan P. Browne et al.   Advances in Data Analysis and Classification

A fast algorithm for robust constrained clustering

(2012) Heinrich Fritz et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Density-based Silhouette diagnostics for clustering methods

(2010) Giovanna Menardi   STATISTICS AND COMPUTING

Exploring the number of groups in robust model-based clustering

(2010) L. A. García-Escudero et al.   STATISTICS AND COMPUTING

A review of robust clustering methods

(2010) Luis Angel García-Escudero et al.   Advances in Data Analysis and Classification

Robust supervised classification with mixture models: Learning from data with uncertain labels

(2009) Charles Bouveyron et al.   PATTERN RECOGNITION

A general trimming approach to robust cluster Analysis

(2008) Luis A. García-Escudero et al.   ANNALS OF STATISTICS