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A PTAS for the k-consensus structures problem under euclidean squared distance

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper we consider a basic clustering problem that has uses in bioinformatics. A structural fragment is a sequence of ℓ points in a 3D space, where ℓ is a fixed natural number. Two structural fragments f 1 and f 2 are equivalent iff under some rotation and translation . We consider the distance between two structural fragments to be the sum of the Euclidean squared distance between all corresponding points of the structural fragments. Given a set of n structural fragments, we consider the problem of finding k (or fewer) structural fragments g 1, g 2,..., g k , so as to minimize the sum of the distances between each of f 1, f 2, ..., f n to its nearest structural fragment in g 1, ..., g k . In this paper we show a PTAS for the problem through a simple sampling strategy. © 2008 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationFrontiers in Algorithmics
Subtitle of host publicationSecond International Workshop, FAW 2008, Proceedings
PublisherSpringer Verlag
Pages35-44
Volume5059 LNCS
ISBN (Print)3540693106, 9783540693109
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2nd International Frontiers in Algorithmics Workshop, FAW 2008 - Changsha, China
Duration: 19 Jun 200821 Jun 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5059 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Frontiers in Algorithmics Workshop, FAW 2008
PlaceChina
CityChangsha
Period19/06/0821/06/08

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