Features selection for arrhythmia diagnosis using Relief-F algorithm and support vector machine.
Alaa ElsayyadMujahed AldhaifallahAhmed M. NassefPublished in: SDD (2017)
Keyphrases
- support vector machine
- selection algorithm
- detection algorithm
- cost function
- learning algorithm
- computational cost
- dynamic programming
- np hard
- feature vectors
- computational complexity
- reduced set
- classification algorithm
- support vector
- optimal solution
- support vector machine svm
- feature space
- decision forest
- svm classifier
- training data
- optimization algorithm
- simulated annealing
- preprocessing
- k means
- segmentation algorithm
- feature set
- data sets
- fault diagnosis
- recognition algorithm
- feature extraction
- extracted features
- search space