DocumentCode
3449993
Title
A sublinear time approximation scheme for clustering in metric spaces
Author
Indyk, Piotr
Author_Institution
Stanford Univ., CA, USA
fYear
1999
fDate
1999
Firstpage
154
Lastpage
159
Abstract
The metric 2-clustering problem is defined as follows: given a metric (or weighted graph) (X,d), partition X into two sets S(1) and S(2) in order to minimize the value of ΣiΣ{u,v}⊂S(i)d(u,v). In this paper, we show an approximation scheme for this problem
Keywords
approximation theory; computational complexity; graph theory; minimisation; pattern clustering; set theory; clustering; metric 2-clustering problem; metric spaces; minimization; set partitioning; sublinear-time approximation scheme; weighted graph; Clustering algorithms; Extraterrestrial measurements; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1999. 40th Annual Symposium on
Conference_Location
New York City, NY
ISSN
0272-5428
Print_ISBN
0-7695-0409-4
Type
conf
DOI
10.1109/SFFCS.1999.814587
Filename
814587
Link To Document