Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning.
Hong HuangHailiang FengPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2012)
Keyphrases
- manifold learning
- semi supervised
- parameter free
- feature extraction
- dimension reduction
- low dimensional
- unsupervised learning
- supervised learning
- dimensionality reduction
- subspace learning
- semi supervised learning
- categorical data
- feature space
- diffusion maps
- label information
- labeled and unlabeled data
- high dimensional data
- machine learning
- image classification
- pattern recognition
- pairwise
- high dimensional
- labeled data
- nonlinear dimensionality reduction
- feature selection
- high dimensionality
- pattern classification
- active learning
- text classification
- class labels
- sparse representation
- decision trees
- fully automatic
- outlier detection
- microarray
- support vector
- feature vectors
- low dimensional manifolds
- neural network
- manifold structure
- input data