Noise Adjusted PCA for Finding the Subspace of Evoked Dependent Signals from MEG Data.
Florian KohlGerd WübbelerDorothea KolossaClemens ElsterMarkus BärReinhold OrglmeisterPublished in: LVA/ICA (2010)
Keyphrases
- data sets
- data collection
- database
- principal component analysis
- input data
- raw data
- independent component analysis
- noisy data
- data analysis
- missing data
- brain activity
- data sources
- data mining techniques
- training data
- high dimensional data
- principal components analysis
- original data
- data structure
- knowledge discovery
- feature extraction
- dimensionality reduction
- image data
- data quality
- noisy environments
- ecg signals
- high dimensional