A methodology for identifying and placing heterogeneous cluster groups based on placement proximity data (abstract only).
Farnaz GharibianLesley ShannonPeter JamiesonPublished in: FPGA (2014)
Keyphrases
- data sets
- clustering algorithm
- data points
- data processing
- database
- training data
- synthetic data
- data collection
- prior knowledge
- end users
- similar objects
- heterogeneous data
- distributed data
- image data
- data structure
- sensor networks
- input data
- knowledge discovery
- spatial data
- raw data
- complex data
- high quality
- similarity measure
- experimental conditions
- feature selection