Multivariate normal mixture modeling, clustering and classification with the rebmix package.
Marko NagodePublished in: CoRR (2018)
Keyphrases
- mixture modeling
- finite mixture models
- density estimation
- multivariate normal
- mixture model
- classification accuracy
- decision trees
- em algorithm
- feature space
- supervised classification
- clustering algorithm
- feature vectors
- machine learning
- supervised learning
- unsupervised learning
- text classification
- support vector machine
- support vector
- feature extraction
- learning algorithm
- principal component analysis
- k means
- pairwise
- image processing