Manifold Learning and Application on Classification of Leukemia Cells Based on Raman Spectroscopy.
Tianqiang HuangKai LiGongde GuoYangqiang YuPublished in: BMEI (2009)
Keyphrases
- manifold learning
- dimension reduction
- feature extraction
- low dimensional
- pattern recognition
- support vector machine svm
- feature space
- dimensionality reduction
- semi supervised
- neural network
- image classification
- laplacian eigenmaps
- head pose estimation
- nonlinear dimensionality reduction
- high dimensional
- feature selection
- preprocessing
- high dimensionality
- manifold embedding
- locality preserving
- support vector
- support vector machine
- high dimensional data
- unsupervised learning
- supervised learning
- cluster analysis
- text classification
- microarray data
- training set
- pattern classification
- training data
- subspace learning
- decision trees
- data sets
- machine learning
- principal component analysis