An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering.
Sharon M. McNicholasPaul D. McNicholasDaniel A. AshlockPublished in: J. Classif. (2021)
Keyphrases
- model based clustering
- evolutionary algorithm
- crossover and mutation
- genetic operators
- fitness function
- multi objective optimization
- mutation operator
- multi objective
- initial population
- genetic algorithm
- evolutionary computation
- hierarchical clustering
- optimization problems
- premature convergence
- differential evolution
- em algorithm
- expectation maximization
- genetic algorithm ga
- particle swarm
- simulated annealing
- crossover operator
- mixture model
- evolution strategy
- genetic search
- k means
- nsga ii
- differential evolution algorithm
- vector space model
- bayesian information criterion
- clustering algorithm
- fitness landscape
- genetic programming
- optimization method
- probabilistic model
- search algorithm
- image segmentation
- information retrieval
- machine learning