A mixture model approach to big data clustering and classification.
Hani HamdanPublished in: BDAW (2016)
Keyphrases
- mixture model
- big data
- unsupervised learning
- density estimation
- finite mixture models
- mixture modeling
- em algorithm
- simultaneous clustering
- model selection
- gaussian mixture model
- model based clustering
- probabilistic model
- expectation maximization
- data analysis
- cloud computing
- bayesian information criterion
- text classification
- data management
- unsupervised classification
- maximum likelihood
- supervised learning
- generative model
- feature vectors
- big data analytics
- business intelligence
- data processing
- feature extraction
- language model
- clustering algorithm
- k means
- pattern recognition
- decision trees
- feature space
- training data
- probabilistic mixture model
- database management systems
- decision support system
- high dimensional data
- class labels
- semi supervised
- data warehousing
- knowledge discovery
- data points
- case study
- feature selection