Browsing by Subject "Expectation-Maximization"

Sort by: Order: Results:

  • Neural mixture models with expectation-maximization for end-to-end deep clustering 
    Tissera, D; Vithanage, K; Wijesinghe, R; Xavier, A; Jayasena, S; Fernando, S; Rodrigo, R [Article-Full-text]
    Any clustering algorithm must synchronously learn to model the clusters and allocate data to those clusters in the absence of labels. Mixture model-based methods model clusters with pre-defined statistical distributions ...