A vectorized k-means algorithm for compressed datasets: design and experimental analysis.
Abdullah Al HasibJuan M. CebrianLasse NatvigPublished in: J. Supercomput. (2018)
Keyphrases
- k means
- expectation maximization
- learning algorithm
- preprocessing
- detection algorithm
- optimization algorithm
- dynamic programming
- synthetic and real datasets
- clustering method
- search space
- hierarchical clustering
- cost function
- computational cost
- spectral clustering
- data clustering
- times faster
- genetic algorithm
- worst case
- np hard
- computational complexity
- optimal solution
- objective function
- case study
- data sets
- high accuracy
- significant improvement
- design process
- data structure
- convergence rate
- recognition algorithm
- fuzzy clustering algorithm