Consensus Big Data Clustering for Bayesian Mixture Models.
Christos N. KarrasAristeidis KarrasKonstantinos C. GiotopoulosMarkos AvlonitisSpyros SioutasPublished in: Algorithms (2023)
Keyphrases
- big data
- mixture model
- unsupervised learning
- density estimation
- mixture modeling
- model based clustering
- em algorithm
- maximum likelihood
- gaussian mixture model
- overlapping clustering
- finite mixture models
- probabilistic model
- cloud computing
- data analysis
- dirichlet prior
- data management
- data processing
- generative model
- big data analytics
- clustering algorithm
- bayesian information criterion
- data warehousing
- expectation maximization
- business intelligence
- social media
- language model
- k means
- data science
- generalized em algorithm
- model selection
- bayesian networks
- probability density function
- knowledge discovery
- outlier detection
- data mining
- hierarchical clustering
- automatic model selection
- reinforcement learning
- prior knowledge
- machine learning
- case study
- dirichlet process mixture models
- training set
- data points
- information processing
- high dimensional data
- cluster analysis