Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data.
Mateusz PrzyborowskiDominik SlezakPublished in: Big Data (2022)
Keyphrases
- big data
- gaussian mixture model
- mixture model
- cloud computing
- data analysis
- em algorithm
- big data analytics
- data management
- feature vectors
- vast amounts of data
- expectation maximization
- speaker recognition
- social media
- data processing
- probability density function
- business intelligence
- speaker identification
- unstructured data
- data science
- maximum likelihood
- variational bayes
- covariance matrices
- knowledge discovery
- data warehousing
- feature space
- information systems
- database systems
- management system
- data sets
- data model
- massive datasets
- probabilistic model