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Found 8 papers, 1 papers with code
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes
We propose a novel, modular method for generating soft-label prototypical lines that still maintains representational accuracy even when there are fewer prototypes than the number of classes in the data.
Multivariate response and parsimony for Gaussian cluster-weighted models
A family of parsimonious Gaussian cluster-weighted models is presented.
Model Based Clustering of High-Dimensional Binary Data
Recent work on clustering of binary data, based on a $d$-dimensional Gaussian latent variable, is extended by incorporating common factor analyzers.
Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions
Mixtures of multivariate contaminated shifted asymmetric Laplace distributions are developed for handling asymmetric clusters in the presence of outliers (also referred to as bad points herein).
A Mixture of Generalized Hyperbolic Factor Analyzers
Model-based clustering imposes a finite mixture modelling structure on data for clustering.
Parsimonious Shifted Asymmetric Laplace Mixtures
A family of parsimonious shifted asymmetric Laplace mixture models is introduced.
Mixtures of Common Skew-t Factor Analyzers
A mixture of common skew-t factor analyzers model is introduced for model-based clustering of high-dimensional data.
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
Previous work has focused on circumventing this problem by constraining the smallest eigenvalue of the component covariance matrices.
