Use of EM algorithm for data reduction under sparsity assumption.
Atanu Kumar GhoshArnab ChakrabortyPublished in: Comput. Stat. (2017)
Keyphrases
- em algorithm
- data reduction
- expectation maximization
- data compression
- mixture model
- maximum likelihood
- gaussian mixture model
- maximum likelihood estimation
- preprocessing
- model selection
- knowledge discovery
- data analysis
- gaussian mixture
- data mining
- expectation maximisation
- classification accuracy
- feature selection
- classification rules
- rough set theory
- high dimensional
- model based clustering
- unsupervised learning
- mixture modeling
- singular value decomposition
- high dimensionality
- data quality
- probabilistic model
- text classification
- feature vectors
- data sets