Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.
Rui XuSteven B. DamelinBoaz NadlerDonald C. Wunsch IIPublished in: Artif. Intell. Medicine (2010)
Keyphrases
- gene expression data
- diffusion maps
- high dimensional
- high dimensionality
- dimensionality reduction
- high dimensional data
- gene expression analysis
- manifold learning
- low dimensional
- clustering gene expression data
- microarray
- gene expression
- gene expression profiles
- nonlinear dimensionality reduction
- gene expression data analysis
- microarray data
- analysis of gene expression data
- data points
- feature selection
- preprocessing step
- clustering algorithm
- data sets
- biclustering algorithms
- gene selection
- k means
- dimension reduction
- similarity search
- nearest neighbor
- clustering method
- unsupervised learning
- image features
- feature space
- linear discriminant analysis
- data clustering
- feature set
- sparse representation
- high dimension
- dimensional data
- statistical learning
- principal component analysis
- knn
- active learning
- feature vectors
- pattern recognition
- feature extraction
- machine learning