Using parallel hierarchical clustering to address spatial big data challenges.
Alan WoodleyLing-Xiang TangShlomo GevaRichi NayakTimothy ChappellPublished in: IEEE BigData (2016)
Keyphrases
- hierarchical clustering
- big data
- health informatics
- cloud computing
- big data analytics
- data management
- data processing
- data analysis
- clustering method
- social media
- data analytics
- vast amounts of data
- unstructured data
- clustering algorithm
- real world
- single link
- parallel processing
- business analytics
- data science
- hierarchical clustering algorithm
- data warehousing
- machine learning
- commodity hardware
- business intelligence
- spatial data
- model based clustering
- object oriented
- knowledge discovery
- partitional clustering
- k means
- single linkage
- decision support
- information processing
- hierarchical clustering methods
- data sets
- data driven decision making