A new hybrid model of PSO and DE algorithm for data classification.
Wannaporn TeekengPornkid UnkawPublished in: SNPD (2017)
Keyphrases
- input data
- classification algorithm
- probabilistic model
- experimental data
- objective function
- cost function
- mathematical model
- bayesian methods
- data sets
- bayesian framework
- noisy data
- preprocessing
- prior knowledge
- input vectors
- particle swarm optimization algorithm
- prior information
- optimization algorithm
- data reduction
- particle swarm optimization
- probability distribution
- similarity measure
- unseen data
- k means
- learning phase
- extracted features
- clustering analysis
- classification method
- learning algorithm
- recognition algorithm
- classification models
- data points
- data structure
- network structure
- machine learning
- classification trees
- classification accuracy
- learned models
- particle swarm optimizer
- neural network
- training data
- hybrid algorithm
- optimization method
- support vector
- evolutionary algorithm
- expectation maximization
- convergence rate
- decision trees
- particle swarm optimization pso
- search space
- high dimensional data
- support vector machine svm
- em algorithm
- knn