Density-based adaptive spatial clustering algorithm for identifying local high-density areas in georeferenced documents.
Tatsuhiro SakaiKeiichi TamuraHajime KitakamiPublished in: SMC (2014)
Keyphrases
- high density
- clustering algorithm
- spatial clustering
- document clustering
- low density
- text clustering
- clustering method
- k means
- density based clustering
- close proximity
- arbitrary shape
- web documents
- thin film
- high power
- document collections
- xml documents
- information retrieval
- information retrieval systems
- high bandwidth
- document retrieval
- data center
- subspace clustering
- database
- cluster labels
- spatial information
- magnetic tape
- magnetic recording
- keywords
- databases
- spatial objects
- spatial databases
- relevant documents
- spatial data
- metadata
- data mining
- vector space model
- low cost
- real time