An improved initialisation method for K-means algorithm optimised by Tissue-like P system.
Shaolin WangXiyu LiuLaisheng XiangPublished in: Int. J. Parallel Emergent Distributed Syst. (2021)
Keyphrases
- k means
- clustering method
- cost function
- high accuracy
- improved algorithm
- dynamic programming
- theoretical analysis
- preprocessing
- computationally efficient
- optimization algorithm
- synthetic and real images
- optimization method
- detection algorithm
- experimental evaluation
- estimation algorithm
- objective function
- computational cost
- detection method
- segmentation method
- hierarchical clustering
- recognition algorithm
- significant improvement
- expectation maximization
- segmentation algorithm
- tree structure
- classification method
- computational complexity
- convergence rate
- cluster analysis
- unsupervised clustering
- optimal solution
- similarity measure
- test images
- selection algorithm
- neural network
- matching algorithm
- classification algorithm
- input data
- probabilistic model
- initial cluster centers
- high efficiency
- genetic algorithm
- spectral clustering
- data clustering
- support vector machine svm
- pairwise
- learning algorithm
- fuzzy c means
- em algorithm
- maximum likelihood
- simulated annealing
- fuzzy k means
- rough k means