Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis.
Lee LancashireO. SchmidH. ShahGraham R. BallPublished in: Bioinform. (2005)
Keyphrases
- cluster analysis
- principal components analysis
- artificial neural networks
- unsupervised learning
- dimension reduction
- clustering analysis
- categorical data
- factor analysis
- classification accuracy
- proteomic data
- k means
- support vector machine
- clustering method
- feature extraction
- data clustering
- covariance matrix
- dimensionality reduction
- discriminant analysis
- pattern classification
- data mining techniques
- pattern recognition
- clustering algorithm
- data mining
- model selection
- text classification
- linear discriminant analysis
- microarray data
- neural network
- machine learning
- hierarchical latent class models
- maximum likelihood
- text mining
- support vector
- decision trees
- image processing