Comparison of Gene Identification Based on Artificial Neural Network Pre-processing with k-Means Cluster and Principal Component Analysis.
Leif E. PetersonMatthew A. ColemanPublished in: WILF (2005)
Keyphrases
- k means
- principal component analysis
- artificial neural networks
- preprocessing
- clustering algorithm
- hierarchical clustering
- data clustering
- cluster centers
- initial cluster centers
- unsupervised clustering
- feature extraction
- cluster analysis
- rough k means
- gene clusters
- principal components
- clustering result
- agglomerative hierarchical clustering
- neural network
- covariance matrix
- spectral clustering
- constrained clustering
- clustering quality
- dimensionality reduction
- hierarchical agglomerative clustering
- data points
- discriminant analysis
- self organizing maps
- clustering method
- post processing
- pairwise
- face images
- variable weighting
- image processing
- clustering approaches
- cluster validity
- face recognition
- clustering framework
- data sets
- gene expression profiles
- clustering analysis
- arbitrary shape
- subspace clustering
- dimension reduction
- microarray
- genetic algorithm ga
- low dimensional