Kernel matrix trimming for improved Kernel K-means clustering.
Nikolaos TsapanosAnastasios TefasNikolaos NikolaidisIoannis PitasPublished in: ICIP (2015)
Keyphrases
- kernel matrix
- kernel methods
- kernel function
- low rank
- kernel learning
- semidefinite programming
- kernel matrices
- feature space
- positive definite
- metric learning
- input space
- reproducing kernel hilbert space
- positive semidefinite
- model selection
- support vectors
- kernel pca
- kernel ridge regression
- ls svm
- training samples
- k means
- support vector
- convex optimization
- improved algorithm
- high dimensional
- svm classifier
- missing data
- support vector machine svm
- least squares
- support vector machine
- decision trees
- machine learning
- data sets