Simulation analysis of cluster echelon open-circuit military combat method based on K-Means algorithm.
Shuangyu WangJinliang LuoXiangxuan HuangPengcheng LiDongsheng XiaoPublished in: CAIBDA (2022)
Keyphrases
- k means
- clustering method
- initial cluster centers
- high accuracy
- hierarchical clustering
- clustering algorithm
- detection method
- optimization algorithm
- significant improvement
- preprocessing
- cost function
- dynamic programming
- improved algorithm
- unsupervised clustering
- recognition algorithm
- mathematical model
- detection algorithm
- data clustering
- objective function
- segmentation algorithm
- matching algorithm
- computationally efficient
- cluster structure
- cluster centers
- estimation algorithm
- theoretical analysis
- computational complexity
- experimental evaluation
- computational cost
- spectral clustering
- classification algorithm
- segmentation method
- input data
- hierarchical agglomerative clustering
- affinity propagation
- convergence rate
- fuzzy c means clustering algorithm
- initial set
- similarity measure
- tree structure
- support vector machine svm
- cluster analysis
- hierarchical clustering algorithms
- energy function
- probabilistic model
- similarity matrix
- optimization method
- rough k means
- optimal solution
- pairwise
- data points
- hierarchical clustering algorithm
- clustering framework
- clustering result
- high efficiency
- multistage
- expectation maximization
- constrained clustering
- clustering approaches
- consensus clustering
- em algorithm
- agglomerative hierarchical clustering
- clustering quality
- subspace clustering
- variable weighting
- path planning
- bisecting k means