Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets.
Jamileh YousefiAndrew Hamilton-WrightPublished in: IJCCI (FCTA) (2016)
Keyphrases
- multi dimensional
- feature vectors
- benchmark datasets
- pattern recognition
- uci repository
- pattern classification
- classification method
- feature values
- uci machine learning repository
- associative classifiers
- feature set
- image features
- classification accuracy
- feature extraction
- decision trees
- support vector machine
- imbalanced datasets
- feature weights
- preprocessing
- object recognition
- support vector machine svm
- machine learning algorithms
- automatic classification
- uci datasets
- class imbalance
- accurate classifiers
- binary and multi class
- classification algorithm
- machine learning
- supervised learning
- text classification
- classification rules
- labeled data
- discriminative features
- feature analysis
- training dataset
- image classification
- classification scheme
- multi class
- feature space
- restricted boltzmann machine
- feature selection
- preprocessing stage
- multiple dimensions
- neural network