A method for training finite mixture models under a fuzzy clustering principle
From MaRDI portal
Publication:622066
DOI10.1016/j.fss.2010.03.015zbMath1204.62099OpenAlexW2051189104MaRDI QIDQ622066
Publication date: 31 January 2011
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2010.03.015
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (3)
Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy \(C\)-means clustering ⋮ Fuzzy Gaussian mixture models ⋮ A possibilistic clustering approach toward generative mixture models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution
- Another interpretation of the EM algorithm for mixture distributions
- Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
- Fuzzy sets
- A new approach to clustering
This page was built for publication: A method for training finite mixture models under a fuzzy clustering principle