Dimensionality Reduction in Many-objective Problems Combining PCA and Spectral Clustering.
Christian von LückenHugo MonzónCarlos A. BrizuelaBenjamín BaránPublished in: GECCO (Companion) (2015)
Keyphrases
- spectral clustering
- dimensionality reduction
- kernel pca
- principal component analysis
- high dimensionality
- low dimensional
- data clustering
- pairwise
- k means
- feature extraction
- principal components
- high dimensional
- similarity matrix
- principal components analysis
- subspace learning
- dimension reduction
- high dimensional data
- nonnegative matrix factorization
- data representation
- manifold learning
- clustering method
- eigendecomposition
- graph laplacian