Laplacian Matrix for Dimensionality Reduction and Clustering.
Laurenz WiskottFabian SchönfeldPublished in: eBISS (2019)
Keyphrases
- dimensionality reduction
- laplacian matrix
- low dimensional
- spectral clustering
- spectral methods
- high dimensional data
- data points
- manifold learning
- high dimensionality
- high dimensional
- unsupervised learning
- multidimensional scaling
- feature extraction
- clustering method
- k means
- data clustering
- feature space
- data representation
- kernel pca
- clustering algorithm
- adjacency matrix
- graph laplacian
- principal component analysis
- pattern recognition
- graph clustering
- graph partitioning
- graph model
- clustering approaches
- data objects
- graph embedding
- pseudo inverse
- feature selection