On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.
Sheng WangYuan SunZhifeng BaoPublished in: Proc. VLDB Endow. (2020)
Keyphrases
- optimization algorithm
- k means
- learning algorithm
- computational cost
- combinatorial optimization
- computationally efficient
- optimization process
- preprocessing
- selection algorithm
- similarity measure
- dynamic programming
- experimental evaluation
- detection algorithm
- times faster
- high accuracy
- probabilistic model
- cost function
- computational complexity
- fine tuning
- optimization problems
- global optimization
- improved algorithm
- optimization method
- computational efficiency
- high efficiency
- evolution strategy
- segmentation algorithm
- particle swarm optimization
- simulated annealing
- evolutionary algorithm
- objective function
- neural network
- clustering method
- matching algorithm
- input data
- data sets
- worst case
- multi objective
- feature space
- highly efficient
- optimal solution
- image segmentation