Infinite Mixtures of Multivariate Normal-Inverse Gaussian Distributions for Clustering of Skewed Data.
Yuan FangDimitris KarlisSanjeena SubediPublished in: J. Classif. (2022)
Keyphrases
- multivariate normal
- gaussian distribution
- covariance matrices
- skewed data
- maximum likelihood
- expectation maximization
- covariance matrix
- gaussian mixture model
- noise model
- gaussian mixture
- mixture model
- clustering algorithm
- k means
- distance measure
- load balancing
- vector space
- unsupervised learning
- feature selection
- anomaly detection
- cross validation
- em algorithm
- nearest neighbor
- probabilistic model
- training set
- image segmentation