High-Dimensional Cluster Analysis with the Masked EM Algorithm.
Shabnam N. KadirDan F. M. GoodmanKenneth D. HarrisPublished in: Neural Comput. (2014)
Keyphrases
- cluster analysis
- em algorithm
- high dimensional
- expectation maximization
- mixture model
- k means
- unsupervised learning
- maximum likelihood
- categorical data
- dimension reduction
- clustering method
- parameter estimation
- clustering algorithm
- maximum likelihood estimation
- generative model
- dimensionality reduction
- expectation maximisation
- gaussian mixture model
- data clustering
- data analysis
- low dimensional
- fuzzy clustering
- hidden variables
- high dimensional data
- maximum a posteriori
- data mining
- variable selection
- feature space
- data mining techniques
- fuzzy c means
- data points
- gibbs sampling
- hierarchical latent class models
- incomplete data
- supervised learning
- reinforcement learning
- machine learning