An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection.
R. Bailey BondPu RenJerome F. HajjarHao SunPublished in: CoRR (2022)
Keyphrases
- machine learning
- unsupervised learning
- supervised classification
- supervised learning
- unsupervised classification
- clustering method
- clustering algorithm
- motion estimation
- unsupervised feature selection
- unsupervised clustering
- agglomerative clustering
- k means
- unsupervised manner
- pattern recognition
- information bottleneck
- motion analysis
- data clustering
- learning tasks
- semi supervised learning
- motion model
- completely unsupervised
- machine learning methods
- learning algorithm
- cluster validation
- cluster analysis
- self organizing maps
- machine learning algorithms
- decision trees
- information extraction
- support vector machine
- knowledge discovery
- space time
- computer vision
- human motion
- motion detection
- anomaly detection
- image sequences
- web people search
- information theoretic
- data analysis
- optical flow
- motion capture
- humanoid robot
- fuzzy clustering
- hierarchical clustering