A unified framework for bivariate clustering and regression problems via mixed-integer linear programming.
John Alasdair WarwickerSteffen RebennackPublished in: Discret. Appl. Math. (2023)
Keyphrases
- regression problems
- mixed integer linear programming
- linear regression
- high dimensional data
- genetic programming
- cross validation
- branch and bound algorithm
- cutting plane
- input space
- mathematical programming
- learning machines
- multi task
- data points
- simulated annealing
- k means
- lower bound
- mixed integer
- data sets
- feature selection
- random forests
- machine learning
- genetic algorithm
- production planning
- model selection
- support vector machine