Adaptive Initialization Method for K-Means Algorithm.
Jie YangYu-Kai WangXin YaoChin-Teng LinPublished in: Frontiers Artif. Intell. (2021)
Keyphrases
- k means
- clustering method
- computational cost
- cost function
- clustering algorithm
- improved algorithm
- theoretical analysis
- preprocessing
- objective function
- matching algorithm
- high accuracy
- synthetic and real images
- dynamic programming
- significant improvement
- computational complexity
- estimation algorithm
- input data
- computationally efficient
- experimental evaluation
- hierarchical clustering
- selection algorithm
- segmentation method
- optimization method
- data clustering
- optimization algorithm
- initial cluster centers
- expectation maximization
- unsupervised clustering
- pairwise
- adaptive threshold
- tree structure
- recognition algorithm
- high efficiency
- segmentation algorithm
- classification algorithm
- detection method
- detection algorithm
- support vector machine svm
- em algorithm
- similarity measure
- energy function
- fuzzy clustering
- fuzzy c means
- particle swarm optimization
- simulated annealing
- image registration
- support vector machine
- probabilistic model
- recursive least squares
- optimal solution