A Computational Comparison of Parallel and Distributed K-median Clustering Algorithms on Large-Scale Image Data.
Anton V. UshakovIgor VasilyevPublished in: MOTOR (2) (2019)
Keyphrases
- image data
- clustering algorithm
- distributed processing
- distributed stream processing
- cooperative
- data intensive
- data clustering
- distributed environment
- real world
- master slave
- k means
- multi agent
- distributed systems
- image quality
- parallel data mining
- parallel database systems
- cluster analysis
- parallel execution
- fuzzy clustering
- clustering method
- high scalability
- distributed data mining
- map reduce
- small scale
- fuzzy c means
- range data
- fault tolerant
- peer to peer
- mobile agents
- computing environments
- median filter
- massively parallel
- image database
- computer networks
- clustering framework
- raw data
- density based clustering
- image content
- mr images
- data sets