Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm.
Yingchun YeLaibin ZhangWei LiangDongliang YuZhaohui WangPublished in: CSIE (3) (2009)
Keyphrases
- k means
- simulated annealing
- learning algorithm
- preprocessing
- dynamic programming
- times faster
- expectation maximization
- hierarchical clustering
- combinatorial optimization
- matching algorithm
- clustering algorithm
- data clustering
- optimization algorithm
- theoretical analysis
- experimental evaluation
- cost function
- significant improvement
- search space
- computational complexity
- pipeline architecture
- high accuracy
- unsupervised clustering
- hill climbing
- solution space
- convergence rate
- decision trees
- tree structure
- clustering method
- detection algorithm
- computational cost
- probabilistic model
- semi supervised