Model-based clustering of functional data via mixtures of \(t\) distributions

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35) Pattern recognition, speech recognition (68T10)

Cites Work

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Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
Model-based clustering of time series in group-specific functional subspaces
Mixtures of multivariate power exponential distributions
Clustering multivariate functional data in group-specific functional subspaces
A proposal for robust curve clustering
Model-based classification via mixtures of multivariate \(t\)-distributions
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
Robust estimation and classification for functional data via projection-based depth notions
High-dimensional data clustering
Estimating the dimension of a model
Trimmed \(k\)-means: An attempt to robustify quantizers
On Bernoulli's numerical solution of algebraic equations.
Model-based clustering for multivariate functional data
Trimmed means for functional data
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions
Outlier detection in multivariate functional data through a contaminated mixture model
Defining probability density for a distribution of random functions
Robust clustering for functional data based on trimming and constraints
Functional data clustering: a survey
Nonparametric functional data analysis. Theory and practice.
Functional outlier detection with robust functional principal component analysis
Robust model-based clustering with mild and gross outliers
Parsimonious mixtures of multivariate contaminated normal distributions
Maximum likelihood estimation via the ECM algorithm: A general framework
The multivariate leptokurtic‐normal distribution and its application in model‐based clustering
Identifiability of Finite Mixtures of Elliptical Distributions
Extending mixtures of multivariate \(t\)-factor analyzers

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