Effective L-Diversity Anonymization Algorithm Based on Improved Clustering.
Wantong ZhengYong MaZhongyue WangChunfu JiaPeng LiPublished in: CSS (2) (2019)
Keyphrases
- k means
- improved algorithm
- computational complexity
- learning algorithm
- times faster
- dynamic programming
- detection algorithm
- significant improvement
- cost function
- np hard
- computational cost
- clustering method
- data clustering
- distance metric
- hierarchical clustering
- computationally efficient
- neural network
- worst case
- preprocessing
- convergence rate
- recognition algorithm
- hierarchical clustering algorithm
- matching algorithm
- optimization algorithm
- expectation maximization
- linear programming
- image sequences