Combining LPP with PCA for microarray data clustering.
Chuanliang ChenRongfang BiePing GuoPublished in: IEEE Congress on Evolutionary Computation (2008)
Keyphrases
- data clustering
- microarray
- principal component analysis
- gene expression
- dimensionality reduction
- k means
- exploratory data analysis
- high throughput
- gene expression data
- unsupervised learning
- microarray data
- face recognition
- cluster analysis
- clustering analysis
- gene expression profiles
- gene ontology
- microarray data analysis
- gene expression profiling
- high dimensionality
- experimental conditions
- clustering algorithm
- gene networks
- spectral clustering
- feature extraction
- gene expression analysis
- gene selection
- principal components analysis
- graph partitioning
- microarray datasets
- machine learning
- feature space
- cancer classification
- high dimensional
- low dimensional
- microarray images
- linear discriminant analysis
- manifold learning
- image segmentation
- dna microarray
- information theoretic
- data mining