Sampling with prior knowledge for high-dimensional gravitational wave data analysis.
He WangZhoujian CaoYue ZhouZong-Kuan GuoZhixiang RenPublished in: Big Data Min. Anal. (2022)
Keyphrases
- high dimensional
- data analysis
- prior knowledge
- parameter space
- high dimensional data
- low dimensional
- data mining
- sample size
- random sampling
- feature space
- dimensionality reduction
- cluster analysis
- high dimensionality
- similarity search
- data processing
- high dimensional problems
- data collection
- small sample size
- multi dimensional
- prior information
- microarray data
- sampling algorithm
- metric space
- machine learning
- sparse data
- noisy data
- dimension reduction
- monte carlo
- high dimensional datasets
- nearest neighbor
- high dimensional spaces
- functional magnetic resonance imaging
- sampled data
- sampling strategy
- input space
- bayesian framework
- latent variables
- rough set theory
- data points
- knowledge discovery
- data warehouse
- big data
- data visualization
- rigid body
- life sciences
- learning algorithm
- training data
- data sets
- domain knowledge
- kernel function