Shrinkage Clustering: A Fast and Size-Constrained Algorithm for Biomedical Applications.
Chenyue W. HuHanyang LiAmina A. QutubPublished in: WABI (2017)
Keyphrases
- k means
- clustering method
- dynamic programming
- times faster
- experimental evaluation
- computational complexity
- preprocessing
- detection algorithm
- particle swarm optimization
- learning algorithm
- hierarchical clustering
- fixed size
- cost function
- data clustering
- optimization algorithm
- objective function
- scales linearly
- genetic algorithm
- memory requirements
- cluster analysis
- recognition algorithm
- self organizing maps
- subspace clustering
- high accuracy
- worst case
- data points
- computational cost
- data sets
- input data
- similarity measure
- clustering algorithm
- significant improvement
- worst case time complexity
- density based clustering algorithm
- density based clustering
- synthetic and real datasets
- window size
- convergence rate
- probabilistic model
- distance metric