Geometric classifiers for high-dimensional noisy data.
Aki IshiiKazuyoshi YataMakoto AoshimaPublished in: J. Multivar. Anal. (2022)
Keyphrases
- noisy data
- high dimensional
- training data
- noise tolerant
- low dimensional
- naive bayes classifier
- high dimensionality
- training samples
- decision trees
- dimensionality reduction
- intrinsic dimensionality
- training set
- highly discriminative
- naive bayes
- noise free
- nearest neighbor
- support vector
- high dimensional data
- missing data
- class labels
- ensemble classifier
- data analysis
- feature space
- neural network
- pattern recognition
- data points
- classification algorithm
- training examples
- ensemble learning
- multi dimensional
- classifier ensemble
- imbalanced data
- input data