Impact of multivariate granger causality analyses with embedded dimension reduction on network modules.
Christoph SchmidtBritta PesterMahesh NagarajanHerbert WitteLutz LeistritzAxel WismüllerPublished in: EMBC (2014)
Keyphrases
- dimension reduction
- multivariate time series
- granger causality
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- singular value decomposition
- feature space
- feature selection
- dimensionality reduction
- high dimensional data
- high dimensionality
- wireless sensor networks
- linear discriminant analysis
- preprocessing
- cluster analysis
- unsupervised learning
- data analysis
- causal relationships
- pattern recognition