An Effective and Efficient Algorithm for K-Means Clustering With New Formulation.
Feiping NieZiheng LiRong WangXuelong LiPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- detection algorithm
- computationally efficient
- k means
- experimental evaluation
- theoretical analysis
- cost function
- dynamic programming
- matching algorithm
- single pass
- high efficiency
- learning algorithm
- significant improvement
- highly efficient
- high accuracy
- simulated annealing
- segmentation algorithm
- objective function
- clustering method
- expectation maximization
- preprocessing
- optimal solution
- particle swarm optimization
- optimization algorithm
- worst case
- least squares
- classification algorithm
- semi supervised
- convergence rate
- improved algorithm
- search space
- space complexity
- computationally intensive
- iterative procedure
- probabilistic formulation