A general model for plane-based clustering with loss function.
Zhen WangYuan-Hai ShaoLan BaiChun-Na LiLi-Ming LiuPublished in: CoRR (2019)
Keyphrases
- loss function
- pairwise
- clustering algorithm
- support vector
- clustering method
- learning to rank
- data clustering
- reproducing kernel hilbert space
- k means
- logistic regression
- spectral clustering
- empirical risk
- solution path
- risk minimization
- document clustering
- unsupervised learning
- pairwise constraints
- square loss
- data points
- regularization term
- boosting framework
- boosting algorithms
- convex loss functions
- stochastic gradient descent
- high dimensional
- least squares
- high dimensional data