A High Performance Modified K-Means Algorithm for Dynamic Data Clustering in Multi-core CPUs Based Environments.
Giuliano LaccettiMarco LapegnaValeria MeleDiego RomanoPublished in: IDCS (2019)
Keyphrases
- data clustering
- dynamic environments
- k means
- deterministic annealing
- cluster analysis
- clustering algorithm
- competitive learning
- unsupervised learning
- spectral clustering
- exploratory data analysis
- graph partitioning
- unsupervised feature selection
- object recognition
- clustering ensemble
- pattern recognition
- data sets
- real world
- databases