An integrated manifold learning approach for high-dimensional data feature extractions and its applications to online process monitoring of additive manufacturing.
Chenang LiuZhenyu (James) KongSuresh BabuChase JoslinJames FergusonPublished in: IISE Trans. (2021)
Keyphrases
- manifold learning
- high dimensional data
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- subspace learning
- dimension reduction
- high dimensionality
- data sets
- nearest neighbor
- data analysis
- data points
- sparse representation
- similarity search
- input space
- subspace clustering
- low rank
- lower dimensional
- low dimensional manifolds
- laplacian eigenmaps
- linear discriminant analysis
- locally linear embedding
- image processing
- high dimensional spaces
- feature extraction
- manifold structure
- data mining
- semi supervised
- database
- geodesic distance
- euclidean space
- training data
- feature space
- support vector machine svm
- feature vectors
- principal component analysis