A convergence theorem for the fuzzy subspace clustering (FSC) algorithm.
Guojun GanJianhong WuPublished in: Pattern Recognit. (2008)
Keyphrases
- subspace clustering
- clustering method
- learning algorithm
- optimization algorithm
- convergence theorem
- high accuracy
- k means
- input data
- rapid convergence
- linear programming
- particle swarm optimization
- expectation maximization
- nearest neighbor
- high dimensional data
- convergence rate
- subspace clusters
- log likelihood
- evolutionary algorithm