A Computational Framework for Nonlinear Dimensionality Reduction and Clustering.
Axel WismüllerPublished in: WSOM (2009)
Keyphrases
- computational framework
- nonlinear dimensionality reduction
- high dimensional data
- manifold learning
- dimensionality reduction
- computational model
- low dimensional
- maximum variance unfolding
- clustering algorithm
- clustering method
- laplacian eigenmaps
- data points
- unsupervised learning
- k means
- high dimensionality
- spectral clustering
- high dimensional
- data visualization
- multi dimensional
- cluster analysis
- pattern recognition
- face recognition
- neural network