Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy.
Joaquin RapelaTimothée ProixDmitrii TodorovWilson TruccoloPublished in: EMBC (2019)
Keyphrases
- low dimensional structure
- high dimensional
- long term
- low dimensional
- high dimensional spaces
- high dimensional data
- high dimensional data sets
- dimensionality reduction
- locally linear embedding
- high dimensionality
- multi dimensional
- data points
- manifold learning
- input space
- nearest neighbor
- metric space
- dimension reduction
- gene expression data
- similarity search
- nearest neighbor search
- dimensional data
- small sample size
- neural network
- microarray data
- feature space
- training samples
- visual data
- data structure
- feature extraction
- machine learning
- epileptic seizures
- data mining