A simple and fast algorithm for K-medoids clustering.
Hae-Sang ParkChi-Hyuck JunPublished in: Expert Syst. Appl. (2009)
Keyphrases
- k means
- computational complexity
- objective function
- learning algorithm
- clustering algorithm
- clustering method
- optimization algorithm
- unsupervised learning
- times faster
- segmentation algorithm
- theoretical analysis
- computational cost
- experimental evaluation
- preprocessing
- high accuracy
- convergence rate
- spectral clustering
- data clustering
- matching algorithm
- significant improvement
- detection algorithm
- optimal solution
- document clustering
- np hard
- simulated annealing
- hierarchical clustering
- worst case
- synthetic and real datasets