STiMR k-Means: An Efficient Clustering Method for Big Data.
Mohamed Aymen Ben HajKacemChiheb-Eddine Ben N'cirNadia EssoussiPublished in: Int. J. Pattern Recognit. Artif. Intell. (2019)
Keyphrases
- clustering method
- big data
- k means
- clustering algorithm
- hierarchical clustering
- spectral clustering
- cluster analysis
- data management
- cloud computing
- fuzzy c means
- social media
- data analysis
- data processing
- affinity propagation
- business intelligence
- big data analytics
- clustering analysis
- vast amounts of data
- document clustering
- data science
- clustering result
- clustering approaches
- constrained clustering
- unsupervised clustering
- hierarchical clustering algorithm
- classical clustering algorithms
- data clustering
- subspace clustering
- data warehousing
- knowledge discovery
- similarity measure
- databases
- clustering framework
- information processing
- knowledge management
- hierarchical agglomerative
- machine learning