University of Hertfordshire

Constrained Intelligent K-Means: Improving Results with Limited Previous Knowledge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

  • Renato Cordeiro de Amorim
View graph of relations
Original languageEnglish
Title of host publicationProcs of the Second Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008
Subtitle of host publicationADVCOMP'08
PublisherIEEE
Pages176-180
Number of pages5
ISBN (Electronic)978-0-7695-3369-8
ISBN (Print)978-0-7695-3369-8
DOIs
Publication statusPublished - 2008
EventSecond Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008. ADVCOMP'08 - Valencia, Spain
Duration: 29 Sep 20084 Oct 2008

Conference

ConferenceSecond Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008. ADVCOMP'08
CountrySpain
CityValencia
Period29/09/084/10/08

Abstract

It is here presented a new method for clustering that uses very limited amount of labeled data, employees two pairwise rules, namely must link and cannot link and a single wise one, cannot cluster. It is demonstrated that the incorporation of these rules in the intelligent k-means algorithm may increase the accuracy of results, this is proven with experiments where the real number of clusters in the data is unknown to the method

ID: 9256109