Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset.
Ying hao XuMiquel VidalBeñat ArejitaJavier DíazCarlos ÁlvarezDaniel Jiménez-GonzálezXavier MartorellFilippo MantovaniPublished in: PARCO (2017)
Keyphrases
- k means
- experimental evaluation
- expectation maximization
- synthetic datasets
- learning algorithm
- data clustering
- tree structure
- computationally efficient
- np hard
- computational complexity
- dynamic programming
- neural network
- convergence rate
- hierarchical clustering
- optimal solution
- clustering method
- detection algorithm
- worst case
- computational cost
- particle swarm optimization
- optimization algorithm
- high accuracy
- case based reasoning
- multi objective
- mobile devices
- linear programming
- theoretical analysis
- segmentation algorithm
- matching algorithm
- image sequences
- semi supervised
- hardware implementation