Development of a hybrid methodology for dimensionality reduction in Mahalanobis-Taguchi system using Mahalanobis distance and binary particle swarm optimization.
Avishek PalJhareswar MaitiPublished in: Expert Syst. Appl. (2010)
Keyphrases
- mahalanobis distance
- metric learning
- dimensionality reduction
- binary particle swarm optimization
- euclidean distance
- noise model
- covariance matrix
- distance metric
- binary gravitational search algorithm
- principal component analysis
- data distribution
- pattern recognition
- feature space
- high dimensional
- learning algorithm
- error rate
- distance function
- high dimensional data
- particle swarm optimization
- distance measure
- search algorithm