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Found 3 papers, 2 papers with code
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
Here a consensus-constrained parsimonious Gaussian mixture model (ccPGMM) is proposed to label pixels in hyperspectral images using a model-based clustering approach.
Clustering Longitudinal Life-Course Sequences Using Mixtures of Exponential-Distance Models
Here, we analyse a survey data set containing information on the career trajectories of a cohort of Northern Irish youths tracked between the ages of 16 and 22.
Methodology Applications
Infinite Mixtures of Infinite Factor Analysers
Factor-analytic Gaussian mixture models are often employed as a model-based approach to clustering high-dimensional data.
Methodology
