Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model.
Zhiqiang WangMathieu RitouCatherine Da CunhaBenoît FuretPublished in: Int. J. Comput. Integr. Manuf. (2020)
Keyphrases
- gaussian mixture model
- machine learning
- feature vectors
- supervised learning
- unsupervised learning
- pattern recognition
- mixture model
- supervised classification
- feature space
- speaker recognition
- machine learning methods
- decision trees
- support vector machine
- text classification
- em algorithm
- expectation maximization
- density estimation
- feature selection
- gaussian mixture
- image classification
- model selection
- background subtraction
- semi supervised
- gaussian model
- learning algorithm
- speaker identification
- feature extraction
- maximum likelihood criterion
- data mining
- gaussian distribution
- training set
- support vector
- class labels
- maximum likelihood
- text mining
- training data
- partially supervised
- gaussian mixture modeling
- computer vision