A-means: improving the cluster assignment phase of k-means for Big Data.
Joaquín Pérez OrtegaNelva Nely Almanza OrtegaJorge A. Ruiz-VanoyeRodolfo A. Pazos RangelSocorro Sáenz-SánchezJosé María Rodríguez-LelisAlicia Martínez RebollarPublished in: Int. J. Comb. Optim. Probl. Informatics (2018)
Keyphrases
- big data
- k means
- clustering algorithm
- data clustering
- hierarchical clustering
- cloud computing
- high volume
- data analysis
- cluster analysis
- big data analytics
- data processing
- unstructured data
- data management
- social media
- unsupervised clustering
- data intensive
- initial cluster centers
- rough k means
- data science
- massive data
- data warehousing
- clustering approaches
- vast amounts of data
- clustering method
- knowledge discovery
- constrained clustering
- business intelligence
- database
- data sets
- cluster centers
- business analytics
- clustering quality
- data driven decision making
- predictive modeling
- social computing
- health informatics
- spectral clustering
- data sources
- e learning