Title : ( Improving spectral bounds for clustering problems by Lagrangian relaxation )
Authors: , Andrea Lodi , Zahra Afsharnejad ,
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Abstract
In this paper we consider the clustering which is important in data mining; image segmentation, VISI design.In fact we consider the general problem of the partition n points into k clusters.
Keywords
Minimum sum of squares; ratio association problem. optimazation
@article{paperid:1026947,
author = {, and Andrea Lodi and Afsharnejad, Zahra},
title = {Improving spectral bounds for clustering problems by Lagrangian relaxation},
journal = {International Transactions in Operational Research},
year = {2011},
volume = {10},
number = {18},
month = {June},
issn = {0969-6016},
pages = {647--661},
numpages = {14},
keywords = {Minimum sum of squares; ratio association problem. optimazation},
}
%0 Journal Article
%T Improving spectral bounds for clustering problems by Lagrangian relaxation
%A ,
%A Andrea Lodi
%A Afsharnejad, Zahra
%J International Transactions in Operational Research
%@ 0969-6016
%D 2011
