FSLLE: A Fast K Selection Algorithm for Locally Linear Embedding.
Jin-Hang LiuTao PengXiaogang ZhaoKunfang SongMinghua JiangMing HuXinrong HuXiao QinPublished in: Int. J. Comput. Intell. Appl. (2018)
Keyphrases
- selection algorithm
- locally linear embedding
- dimensionality reduction
- low dimensional
- manifold learning
- high dimensional
- nonlinear dimensionality reduction
- high dimensional data
- laplacian eigenmaps
- subspace learning
- dimensional data
- search algorithm
- geodesic distance
- principal component analysis
- principal components analysis
- dimensionality reduction methods
- triangular mesh
- data points
- dimension reduction
- pattern recognition
- semi supervised
- multi dimensional
- feature vectors
- object recognition
- training data