Research and Improvement Method Based on k-mean Clustering Algorithm.
Guohua ZhangKangting ZhaoYi LiPublished in: Comput. Inf. Sci. (2019)
Keyphrases
- high accuracy
- cost function
- significant improvement
- theoretical analysis
- experimental evaluation
- improved algorithm
- synthetic and real images
- computational complexity
- detection method
- detection algorithm
- computational cost
- objective function
- dynamic programming
- input data
- similarity measure
- mapping function
- matching algorithm
- classification algorithm
- segmentation algorithm
- optimization algorithm
- computational efficiency
- preprocessing
- single pass
- mathematical model
- energy function
- clustering method
- computational speed
- recognition algorithm
- high efficiency
- experimental study
- estimation algorithm
- learning algorithm
- computationally efficient
- decomposition method
- classification method
- selection algorithm
- convergence rate
- pairwise
- support vector machine svm
- heuristic rules
- evolutionary algorithm
- region of interest
- reconstruction method
- np hard
- hybrid algorithm
- noisy data
- optimization method
- path planning
- parameter estimation
- search space
- simulated annealing
- test images
- image matching
- tree structure
- exhaustive search
- association rules
- image restoration
- optimal path
- expectation maximization
- particle swarm optimization
- probabilistic model