Algorithm for generating neutrosophic data using accept-reject method.
Muhammad AslamFaten S. AlamriPublished in: J. Big Data (2023)
Keyphrases
- input data
- noisy data
- high accuracy
- prior information
- synthetic data
- experimental evaluation
- improved algorithm
- clustering method
- information loss
- support vector machine svm
- dynamic programming
- cost function
- computationally efficient
- optimization method
- detection method
- objective function
- similarity matrix
- optimization algorithm
- detection algorithm
- data sets
- significant improvement
- synthetic and real images
- generation method
- classification trees
- theoretical analysis
- computational cost
- preprocessing
- large scale data sets
- recognition algorithm
- tree structure
- segmentation method
- convergence rate
- training data
- estimation algorithm
- similarity measure
- labeling process
- segmentation algorithm
- k means
- dimensional data
- missing data
- optimal solution
- statistical methods
- spectral clustering
- data points
- probabilistic model
- dissimilarity matrix
- sample set
- missing values
- em algorithm
- prior knowledge
- computational complexity
- data structure
- matching algorithm
- energy function
- support vector machine
- learning algorithm
- simulated annealing