Enhanced Classification of Coffee Leaf Biotic Stress by Synergizing Feature Concatenation and Dimensionality Reduction.
Muhammad Armghan LatifNoor AfshanZohaib MushtaqNabeel Ahmed KhanMuhammad IrfanGrzegorz NowakowskiSamar M. AlqhtaniSalim Nasar Faraj MursalSergii TelenykPublished in: IEEE Access (2023)
Keyphrases
- dimensionality reduction
- feature vectors
- feature extraction
- pattern recognition
- feature space
- classification accuracy
- feature selection
- dimensionality reduction methods
- image classification
- support vector machine
- pattern recognition and machine learning
- pattern classification
- benchmark datasets
- feature set
- decision trees
- low dimensional
- feature weights
- preprocessing
- high dimensionality
- classification method
- automatic classification
- preprocessing step
- data representation
- classification scheme
- dimension reduction
- feature ranking
- machine learning
- principal components
- discriminative features
- feature values
- feature analysis
- locality preserving projections
- classification models
- multi class
- support vector
- classification algorithm
- class labels
- support vector machine svm
- text classification
- active learning
- image features