High-dimensional cluster analysis with the Masked EM Algorithm.
Shabnam N. KadirDan F. M. GoodmanKenneth D. HarrisPublished in: CoRR (2013)
Keyphrases
- cluster analysis
- em algorithm
- high dimensional
- expectation maximization
- unsupervised learning
- k means
- categorical data
- maximum likelihood
- mixture model
- dimension reduction
- parameter estimation
- generative model
- clustering method
- maximum likelihood estimation
- low dimensional
- clustering algorithm
- high dimensional data
- gaussian mixture model
- data clustering
- hierarchical latent class models
- data analysis
- data mining
- hidden variables
- dimensionality reduction
- data points
- fuzzy clustering
- data mining techniques
- incomplete data
- feature space
- model based clustering
- expectation maximisation
- decision trees
- variable selection
- probabilistic model
- gibbs sampling
- similarity measure
- feature extraction
- machine learning
- data sets