A random version of principal component analysis in data clustering.
Luigi Leonardo PalesePublished in: Comput. Biol. Chem. (2018)
Keyphrases
- data clustering
- principal component analysis
- clustering algorithm
- cluster analysis
- unsupervised learning
- covariance matrix
- exploratory data analysis
- dimensionality reduction
- deterministic annealing
- k means
- principal components
- dimension reduction
- competitive learning
- low dimensional
- spectral clustering
- graph partitioning
- feature extraction
- face recognition
- unsupervised feature selection
- partitional clustering
- expectation maximization
- databases
- maximum likelihood
- probabilistic model
- pairwise
- pattern recognition
- bayesian networks
- neural network