Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps.
Rui XuSteven B. DamelinBoaz NadlerDonald C. Wunsch IIPublished in: BMEI (1) (2008)
Keyphrases
- gene expression data
- diffusion maps
- high dimensional
- high dimensionality
- high dimensional data
- dimensionality reduction
- manifold learning
- low dimensional
- gene expression analysis
- clustering gene expression data
- gene expression
- microarray
- nonlinear dimensionality reduction
- gene expression profiles
- gene expression data analysis
- microarray data
- data points
- analysis of gene expression data
- clustering method
- action classification
- data sets
- biclustering algorithms
- feature selection
- clustering algorithm
- similarity search
- feature space
- k means
- statistical learning
- preprocessing step
- gene selection
- feature vectors
- dimension reduction
- high dimension
- feature extraction
- unsupervised learning
- feature set
- pattern recognition
- nearest neighbor
- image features
- semi supervised
- action recognition
- text classification
- linear discriminant analysis