Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
On Polynomial Solvability of One Quadratic Euclidean Clustering Problem on a Line. / Kel’manov, Alexander; Khandeev, Vladimir.
Learning and Intelligent Optimization - 13th International Conference, LION 13, Revised Selected Papers. ред. / Nikolaos F. Matsatsinis; Yannis Marinakis; Panos Pardalos. Springer Gabler, 2020. стр. 46-52 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11968 LNCS).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - On Polynomial Solvability of One Quadratic Euclidean Clustering Problem on a Line
AU - Kel’manov, Alexander
AU - Khandeev, Vladimir
N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/1/22
Y1 - 2020/1/22
N2 - We consider one problem of partitioning a finite set of points in Euclidean space into clusters so as to minimize the sum over all clusters of the intracluster sums of the squared distances between clusters elements and their centers. The centers of some clusters are given as an input, while the other centers are unknown and defined as centroids (geometrical centers). It is known that the general case of the problem is strongly NP-hard. We show that there exists an exact polynomial algorithm for the one-dimensional case of the problem.
AB - We consider one problem of partitioning a finite set of points in Euclidean space into clusters so as to minimize the sum over all clusters of the intracluster sums of the squared distances between clusters elements and their centers. The centers of some clusters are given as an input, while the other centers are unknown and defined as centroids (geometrical centers). It is known that the general case of the problem is strongly NP-hard. We show that there exists an exact polynomial algorithm for the one-dimensional case of the problem.
KW - Euclidean space
KW - Minimum Sum-of-Squares Clustering
KW - NP-hard problem
KW - One-dimensional case
KW - Polynomial solvability
UR - http://www.scopus.com/inward/record.url?scp=85082389518&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-38629-0_4
DO - 10.1007/978-3-030-38629-0_4
M3 - Conference contribution
AN - SCOPUS:85082389518
SN - 9783030386283
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 46
EP - 52
BT - Learning and Intelligent Optimization - 13th International Conference, LION 13, Revised Selected Papers
A2 - Matsatsinis, Nikolaos F.
A2 - Marinakis, Yannis
A2 - Pardalos, Panos
PB - Springer Gabler
T2 - 13th International Conference on Learning and Intelligent Optimization, LION 13
Y2 - 27 May 2019 through 31 May 2019
ER -
ID: 23877324