Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features.
Thomas LangeAneesh BalakrishnanMaximilien GlorieuxDan AlexandrescuLuca SterponePublished in: CoRR (2020)
Keyphrases
- machine learning
- clustering algorithm
- machine learning models
- feature vectors
- unsupervised feature selection
- spectral clustering
- design process
- clustering method
- unsupervised learning
- text classification
- natural language processing
- low level
- prior knowledge
- feature space
- feature extraction
- case study
- classification accuracy
- machine learning algorithms
- machine learning methods
- data clustering
- inductive logic programming
- learning models
- feature construction
- additional features
- feature generation
- computer vision
- neural network