-Means Algorithm for Determining the Optimal Number of Clusters.
Min RenPeiyu LiuZhihao WangJing YiPublished in: Comput. Intell. Neurosci. (2016)
Keyphrases
- optimal solution
- dynamic programming
- computational complexity
- worst case
- objective function
- detection algorithm
- preprocessing
- learning algorithm
- data clustering
- matching algorithm
- simulated annealing
- k means
- computational cost
- clustering algorithm
- path planning
- density based clustering
- initial set
- optimal path
- space complexity
- hierarchical clustering
- neural network
- times faster
- similarity measure
- lower bound
- clustering method
- significant improvement
- expectation maximization
- input data
- convergence rate
- exhaustive search
- synthetic datasets
- undirected graph
- evolutionary algorithm
- np hard
- cost function