A data sample algorithm applied to wireless sensor network with disruptive connections.
Israel L. C. VasconcelosIvan C. MartinsCarlos Mauricio S. FigueiredoAndré L. L. de AquinoPublished in: Comput. Networks (2018)
Keyphrases
- data samples
- input data
- noisy data
- learning algorithm
- data reduction
- information loss
- detection algorithm
- data sets
- data sources
- data collection
- clustering method
- matching algorithm
- optimization algorithm
- test data
- database
- image data
- sample set
- data analysis
- dynamic programming
- data structure
- computational cost
- k means
- cost function
- training data
- synthetic datasets
- convergence rate
- wireless sensor networks
- worst case
- sensor networks
- data points
- similarity measure
- bayesian networks
- data gathering
- optimal solution
- recognition algorithm
- prior information
- preprocessing
- missing data
- synthetic data
- high dimensional
- segmentation algorithm
- training samples
- np hard
- particle swarm optimization
- simulated annealing