Reducing Energy Consumption for Distributed EM-based Clustering in Wireless Sensor Networks.
John TsiligaridisCésar FloresPublished in: ANT/SEIT (2016)
Keyphrases
- wireless sensor networks
- k means
- unsupervised learning
- clustering algorithm
- clustering method
- data clustering
- distributed systems
- hierarchical clustering
- cooperative
- lightweight
- distributed environment
- document clustering
- density estimation
- expectation maximization
- self organizing maps
- data mining tasks
- energy efficient
- sensor nodes
- neural network
- computer networks
- fuzzy clustering
- data aggregation
- data sets
- mobile agents
- multi agent
- peer to peer
- probabilistic model
- model based clustering
- gaussian mixture model
- probabilistic latent semantic analysis
- data mining
- communication cost
- data points
- generative model
- anomaly detection
- energy consumption
- cluster analysis
- outlier detection
- information theoretic