Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering.
Antoine CollasFlorent BouchardArnaud BreloyGuillaume GinolhacChengfang RenJean Philippe OvarlezPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- k means
- principal component analysis
- bayesian networks
- theoretical framework
- signal processing
- main contribution
- unsupervised learning
- probabilistic approaches
- independent component analysis
- linear discriminant analysis
- clustering method
- dimensionality reduction
- probabilistic model
- generative model
- neural network
- knn
- information theoretic
- high dimensional
- linear model
- principal components analysis
- principle component analysis
- similarity measure