A Novelty Approach to Retina Diagnosing Using Biometric Techniques With SVM and Clustering Algorithms.
Maciej SzymkowskiEmil SaeedMiroslaw OmieljanowiczAndrzej OmieljanowiczKhalid SaeedZofia MariakPublished in: IEEE Access (2020)
Keyphrases
- clustering algorithm
- support vector machine svm
- support vector
- support vector machine
- k means
- knn
- pattern recognition
- feature selection
- novelty detection
- retinal images
- fuzzy c means
- data clustering
- svm classifier
- multi class
- document clustering
- support vectors
- biometric authentication
- generalization ability
- cluster analysis
- iris recognition
- classification algorithm
- svm classification
- personal identification
- training data
- biometric data
- biometric identification
- machine learning
- hyperplane
- fuzzy clustering
- kernel function
- feature extraction
- blood vessels
- identity verification
- data sets
- clustering method
- feature vectors
- feature space
- overlapping clusters
- density based clustering
- human retina
- hierarchical clustering algorithms
- decision trees
- human identification
- clustering framework
- visual field
- visual cortex
- multiple kernel learning
- multi class classification
- biometric systems
- ls svm