Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps Part 2: Improvement of Clustering Performance Based on Codebook Vector Density.
Masaru TeranishiShimpei MatsumotoHidetoshi TakenoPublished in: DCAI (2019)
Keyphrases
- feature vectors
- clustering method
- unsupervised clustering
- classification accuracy
- unsupervised learning
- outlier detection
- clustering algorithm
- vector quantization
- training set
- feature selection
- machine learning
- camera motion
- support vector machine svm
- supervised learning
- support vector machine
- supervised classification
- image sequences
- decision trees
- motion trajectories
- configuration space
- soft assignment
- human motion
- velocity vector
- motion analysis
- space time
- k means
- feature extraction
- motion model
- motion patterns
- optical flow
- clustering analysis
- feature space
- similarity measure
- wall motion
- density based clustering algorithm
- computer vision