An efficient fuzzy c-means approach based on canonical polyadic decomposition for clustering big data in IoT.
Fanyu BuPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- big data
- fuzzy c means
- clustering algorithm
- clustering method
- fuzzy clustering
- k means
- fcm algorithm
- fuzzy clustering algorithm
- fuzzy c means clustering
- hard c means
- fcm clustering
- fuzzy clustering algorithms
- cluster analysis
- soft clustering
- cloud computing
- fuzzy c means algorithm
- cluster centers
- data analysis
- cluster validity index
- cluster validity
- data management
- gustafson kessel
- data processing
- social media
- possibilistic c means
- possibilistic clustering
- image segmentation
- big data analytics
- hierarchical clustering
- cluster validity indices
- validity index
- data warehousing
- business intelligence
- knowledge discovery
- hybrid method
- data sets
- self organizing maps
- data points
- real world
- membership functions
- euclidean distance
- information processing
- data sources
- metadata
- genetic algorithm