Nonlinear Dimensionality Reduction for Cluster Identification in Metagenomic Samples.
Andrej GisbrechtBarbara HammerBassam MokbelAlexander SczyrbaPublished in: IV (2013)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional data
- clustering algorithm
- laplacian eigenmaps
- data points
- maximum variance unfolding
- data sets
- locally linear embedding
- high dimensional
- dimension reduction
- cluster analysis
- subspace learning
- training set
- image processing