Detecting Low Dimensional Dynamics in Biological Experiments.
Xing PeiFrank MossPublished in: Int. J. Neural Syst. (1996)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- principal component analysis
- input space
- manifold learning
- high dimensional data
- euclidean space
- animal behavior
- living cells
- automatic detection
- regulatory networks
- biological systems
- biological data
- data points
- feature space
- neural network
- vector space
- dynamic model
- dynamical systems
- pairwise
- locally linear embedding
- nonlinear dimensionality reduction
- support vector
- linear dimensionality reduction
- gaussian process latent variable models
- multi agent