Unsupervised anomaly detection using an evolutionary extension of k-means algorithm.
Wei LuIssa TraoréPublished in: Int. J. Inf. Comput. Secur. (2008)
Keyphrases
- k means
- clustering algorithm
- computational cost
- clustering method
- dynamic programming
- experimental evaluation
- expectation maximization
- genetic algorithm
- objective function
- convergence rate
- preprocessing
- worst case
- fuzzy k means
- recognition algorithm
- matching algorithm
- probabilistic model
- cost function
- significant improvement
- similarity measure
- learning algorithm
- particle swarm optimization
- optimization algorithm
- detection algorithm
- hierarchical clustering
- optimal solution