Kernel Principle Component Analysis in Pixels Clustering.
Jing LiDacheng TaoWeiming HuXuelong LiPublished in: Web Intelligence (2005)
Keyphrases
- principle component analysis
- kernel pca
- dimension reduction
- principal components analysis
- face recognition
- independent component analysis
- feature space
- feature extraction
- lower dimensional
- svm classifier
- clustering algorithm
- singular value decomposition
- multidimensional scaling
- random projections
- cluster analysis
- clustering method
- principal component analysis
- kernel methods
- spectral clustering
- k means
- covariance matrix
- high dimensional data
- independent components
- data clustering
- kernel function
- data points
- machine learning
- nearest neighbor classifier
- svm classification
- data analysis
- support vector machine
- face databases
- dimensionality reduction
- document clustering
- data sets