Parallelizing K-Means Algorithm for 1-D Data Using MPI.
Ilias K. SavvasGeorgia N. SofianidouPublished in: WETICE (2014)
Keyphrases
- k means
- input data
- data sets
- clustering analysis
- preprocessing
- database
- noisy data
- data reduction
- data analysis
- cluster centers
- clustering result
- parallel implementation
- spectral clustering
- data clustering
- hierarchical clustering
- parallel algorithm
- expectation maximization
- hierarchical clustering algorithm
- learning algorithm
- training data
- data structure
- simulated annealing
- worst case
- clustering algorithm
- data transfer
- missing data
- knowledge discovery
- computational complexity
- search space
- dynamic programming
- optimal solution
- synthetic datasets
- np hard
- data objects
- data sources
- high dimensional data
- clustering method
- detection algorithm
- segmentation algorithm
- particle swarm optimization