Clustering performance data efficiently at massive scales.
Todd GamblinBronis R. de SupinskiMartin SchulzRobert J. FowlerDaniel A. ReedPublished in: ICS (2010)
Keyphrases
- data sets
- data analysis
- high dimensional data
- training data
- high quality
- knowledge discovery
- data objects
- spectral clustering
- data warehouse
- raw data
- original data
- data quality
- categorical data
- massive amounts of data
- multidimensional data
- experimental data
- missing data
- database
- unsupervised learning
- computer systems
- data collection
- data processing
- data points
- synthetic data
- input data
- data mining techniques
- image data
- end users
- data sources
- k means
- uncertain data
- multiscale
- clustering algorithm
- databases