distance in Weighted K-Means with distributed centroids.
Renato Cordeiro de AmorimVladimir MakarenkovPublished in: Neurocomputing (2016)
Keyphrases
- k means
- clustering algorithm
- distributed systems
- data clustering
- weighted distance
- clustering method
- unsupervised clustering
- peer to peer
- cluster analysis
- distributed data
- cooperative
- expectation maximization
- communication overhead
- communication cost
- self organizing maps
- lightweight
- distance measure
- multi agent
- spectral clustering
- variable weighting
- squared euclidean distance
- clustering quality
- real time
- rough k means
- computing environments
- fault tolerant
- hierarchical clustering
- computer networks
- distributed environment
- load balancing
- distance function
- similarity search
- sensor networks
- data sets