Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm.
Bahman ArastehSahar GolshanShiva ShamiFarzad KianiPublished in: J. Electron. Test. (2024)
Keyphrases
- k means
- clustering method
- dynamic programming
- improved algorithm
- high accuracy
- optimization algorithm
- neural network
- detection algorithm
- experimental evaluation
- cost function
- computational cost
- significant improvement
- computational complexity
- segmentation algorithm
- detection method
- energy function
- recognition algorithm
- preprocessing
- objective function
- theoretical analysis
- levenberg marquardt
- matching algorithm
- expectation maximization
- hierarchical clustering
- optimization method
- segmentation method
- classification algorithm
- em algorithm
- tree structure
- nearest neighbour
- unsupervised clustering
- feed forward neural networks
- training algorithm
- data clustering
- convergence rate
- orthogonal basis
- computationally efficient
- optimal solution
- similarity measure
- spectral clustering
- initial cluster centers
- auto associative
- probabilistic model
- genetic algorithm
- self organizing maps
- neural network is trained
- learning algorithm
- clustering algorithm
- support vector machine
- bp neural network
- clustering quality
- fuzzy clustering algorithm
- simulated annealing
- input data
- support vector machine svm