Improving K-means clustering performance using a new global time-series averaging method.
Xinxin YaoHua-Liang WeiPublished in: ECAI (2017)
Keyphrases
- synthetic data
- theoretical analysis
- preprocessing
- significant improvement
- experimental evaluation
- similarity measure
- dynamic programming
- moving average
- clustering method
- high accuracy
- support vector machine
- k means
- pairwise
- objective function
- data mining
- computational cost
- model selection
- computationally efficient
- detection algorithm
- feature selection
- neural network