Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization.
Yue Joseph WangLan LuoMatthew T. FreedmanSun-Yuan KungPublished in: IEEE Trans. Neural Networks Learn. Syst. (2000)
Keyphrases
- data visualization
- principal components
- finite mixture model
- principal component analysis
- multivariate data
- dimensionality reduction
- mixture model
- data analysis
- expectation maximization
- knowledge discovery
- visual data mining
- probabilistic model
- data mining
- high dimensional data
- low dimensional
- high dimensional
- em algorithm
- big data
- density estimation
- generative model
- bayesian networks
- principal component regression
- unsupervised learning
- parameter space
- covariance matrix
- data points
- face recognition
- feature space
- feature extraction
- databases
- data sets