A PTAS for Euclidean TSP with Hyperplane Neighborhoods.
Antonios AntoniadisKrzysztof FleszarRuben HoeksmaKevin SchewiorPublished in: SODA (2019)
Keyphrases
- hyperplane
- traveling salesman problem
- data points
- euclidean distance
- approximation algorithms
- feature space
- support vector
- linear classifiers
- training samples
- input space
- support vector machine
- principal components
- kernel function
- maximal margin
- euclidean space
- np hard
- support vectors
- convex hull
- linearly separable
- incremental learning algorithm
- normal vectors
- locality sensitive
- classification procedure
- svm classifier
- pattern recognition
- learning algorithm
- data sets
- linear separability
- half spaces
- polynomial time approximation
- search space
- optimal solution
- data mining