The parallel complexities of the K-medians related problems

K -medians is a well-known clustering algorithm in data mining literature. This paper describes three decision problems related to k-medians. These problems are called MEDIANS REPLACEMENT IN k-MEDIANS, MEDIAN DETERMINATION, and TITERATIONS k-MEDIANS problems. We show that these problems are in NC, e...

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Main Authors: Vittayakorn S., Kantabutra S., Tanprasert C.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-52949140540&partnerID=40&md5=e48a4a7100d37eecb0f0adcdf5a472c3
http://cmuir.cmu.ac.th/handle/6653943832/5467
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-54672014-08-30T02:56:34Z The parallel complexities of the K-medians related problems Vittayakorn S. Kantabutra S. Tanprasert C. K -medians is a well-known clustering algorithm in data mining literature. This paper describes three decision problems related to k-medians. These problems are called MEDIANS REPLACEMENT IN k-MEDIANS, MEDIAN DETERMINATION, and TITERATIONS k-MEDIANS problems. We show that these problems are in NC, each has a (logn)O(1) parallel time algorithm on an EREW PRAM model using nO(1) processors, and the result in each case is the strongest possible.1 ©2008 IEEE. 2014-08-30T02:56:34Z 2014-08-30T02:56:34Z 2008 Conference Paper 1424421012; 9781424421015 10.1109/ECTICON.2008.4600360 73753 http://www.scopus.com/inward/record.url?eid=2-s2.0-52949140540&partnerID=40&md5=e48a4a7100d37eecb0f0adcdf5a472c3 http://cmuir.cmu.ac.th/handle/6653943832/5467 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description K -medians is a well-known clustering algorithm in data mining literature. This paper describes three decision problems related to k-medians. These problems are called MEDIANS REPLACEMENT IN k-MEDIANS, MEDIAN DETERMINATION, and TITERATIONS k-MEDIANS problems. We show that these problems are in NC, each has a (logn)O(1) parallel time algorithm on an EREW PRAM model using nO(1) processors, and the result in each case is the strongest possible.1 ©2008 IEEE.
format Conference or Workshop Item
author Vittayakorn S.
Kantabutra S.
Tanprasert C.
spellingShingle Vittayakorn S.
Kantabutra S.
Tanprasert C.
The parallel complexities of the K-medians related problems
author_facet Vittayakorn S.
Kantabutra S.
Tanprasert C.
author_sort Vittayakorn S.
title The parallel complexities of the K-medians related problems
title_short The parallel complexities of the K-medians related problems
title_full The parallel complexities of the K-medians related problems
title_fullStr The parallel complexities of the K-medians related problems
title_full_unstemmed The parallel complexities of the K-medians related problems
title_sort parallel complexities of the k-medians related problems
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-52949140540&partnerID=40&md5=e48a4a7100d37eecb0f0adcdf5a472c3
http://cmuir.cmu.ac.th/handle/6653943832/5467
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