A novel method for classification of matrix data using Twin Multiple Rank SMMs.
Xizhan GaoLiya FanHaitao XuPublished in: Appl. Soft Comput. (2016)
Keyphrases
- synthetic data
- classification method
- data sets
- training samples
- support vector machine svm
- preprocessing
- correspondence analysis
- classification process
- input data
- classification accuracy
- test data
- noisy data
- data points
- prior knowledge
- pairwise
- support vector machine
- pattern classification
- feature set
- extracted features
- text classification
- similarity matrix
- data analysis
- similarity measure
- missing data
- dimension reduction
- ordinal data
- missing values
- classification trees
- original data
- classification rate
- benchmark data sets
- decision rules
- unsupervised learning
- feature vectors
- training set
- feature space
- feature extraction
- high dimensional data
- model selection
- multi class
- bayesian methods
- training data
- decision trees
- low rank approximation
- machine learning
- neural network