Title
The Surgical Separation of Sets
Abstract
Given a pair of finite disjoint setsA andB inR^n, a fundamental problem with many important applications isto efficiently determine a hyperplaneH(w,λ) whichseparates these sets when they are separable, or ’nearly‘ separates themwhen they are not. We seek a hyperplane which minimizes a natural errormeasure in the latter case, and so will ’surgically‘ separate the sets. Whenthe sets are separable in a strong sense, we show that the problem is aconvex program with a unique solution, which has been investigated byothers. Using the KKT conditions, we improve on an existing algorithm. Whenthe sets are not separable, the problem is nonconvex, generally with properlocal solutions, and we solve an equivalent problem by Branch and Bound.Numerical results are presented.
Year
DOI
Venue
1997
10.1023/A:1008284015704
Journal of Global Optimization
Keywords
Field
DocType
Pattern recognition,non-convex optimization,set separation
Discrete mathematics,Combinatorics,Non convex optimization,Branch and bound,Mathematical optimization,Disjoint sets,Separable space,Regular polygon,Hyperplane,Karush–Kuhn–Tucker conditions,Mathematics
Journal
Volume
Issue
ISSN
11
4
1573-2916
Citations 
PageRank 
References 
7
0.89
2
Authors
2
Name
Order
Citations
PageRank
James E. Falk129768.47
Emma Lopez-Cardona270.89