Abstract:
The problem of finding optimal clustering has not been well covered in the literature. Solutions can be found only for special cases, which can be solved in polynomial ti...Show MoreMetadata
Abstract:
The problem of finding optimal clustering has not been well covered in the literature. Solutions can be found only for special cases, which can be solved in polynomial time. In this paper, we give a solution for the general case. The method generates all possible clusterings by a series of merge steps. The clusterings are organized as a minimum redundancy search tree and the optimal clustering is found by a branch-and-bound technique. The result has theoretical interest and could also provide new insight to the problem itself.
Published in: 2002 International Conference on Pattern Recognition
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651