Finding reproducible cluster partitions for the k-means algorithm.
Paulo J. G. LisboaTerence A. EtchellsIan H. JarmanSimon J. ChambersPublished in: BMC Bioinform. (2013)
Keyphrases
- k means
- data clustering
- clustering algorithm
- cluster analysis
- learning algorithm
- clustering method
- expectation maximization
- optimal solution
- cluster centers
- hierarchical clustering
- unsupervised clustering
- high accuracy
- detection algorithm
- data sets
- computational cost
- matching algorithm
- clustering approaches
- computational complexity
- subspace clustering
- recognition algorithm
- objective function
- times faster
- input data
- worst case
- probabilistic model
- dynamic programming
- search space
- significant improvement
- preprocessing
- clustering framework
- clustering analysis
- affinity propagation
- rough k means
- convergence rate
- document clustering
- tree structure
- particle swarm optimization
- experimental evaluation
- np hard
- cost function