A heuristic k-means clustering algorithm by kernel pca.
Mantao XuPasi FräntiPublished in: ICIP (2004)
Keyphrases
- kernel pca
- kernel methods
- laplacian eigenmaps
- kernel principal component analysis
- principal component analysis
- feature space
- dimensionality reduction
- spectral clustering
- kernel function
- gram matrix
- k means
- input space
- data sets
- kernel matrix
- high dimensional
- high dimensional data
- pairwise
- linear discriminant analysis
- feature extraction
- component analysis
- face recognition
- data points
- clustering algorithm
- computer vision