A cluster-based data splitting method for small sample and class imbalance problems in impact damage classification.
Quoc Hoan DoanSy Hung MaiQuang Thang DoDuc-Kien ThaiPublished in: Appl. Soft Comput. (2022)
Keyphrases
- small sample
- class imbalance
- sampling methods
- data sets
- input data
- training samples
- classification accuracy
- support vector machine svm
- high dimensionality
- prior knowledge
- unsupervised learning
- error rate
- feature set
- support vector machine
- feature selection
- pairwise
- similarity measure
- data distribution
- machine learning methods
- feature space
- pattern recognition
- high dimensional data
- support vector
- training data
- classification algorithm
- test data
- data mining
- missing values
- missing data
- labeled data
- model selection
- data points