DNA Chromatogram Classification Using Entropy-Based Features and Supervised Dimension Reduction Based on Global and Local Pattern Information.
Ersoy ÖzÖyküm Esra YigitUfuk SakaryaPublished in: Int. J. Pattern Recognit. Artif. Intell. (2023)
Keyphrases
- dimension reduction
- discriminative information
- feature extraction
- feature space
- high dimensionality
- feature selection
- classification accuracy
- high dimensional data
- unsupervised learning
- feature set
- feature vectors
- preprocessing
- feature construction
- image classification
- pattern recognition
- training samples
- support vector
- class labels
- singular value decomposition
- random projections
- principle component analysis
- data mining and machine learning
- model selection
- feature subspace
- linear discriminant analysis
- cluster analysis
- neural network
- text classification
- dimensionality reduction
- image processing
- computer vision