Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이상호 | * |
dc.date.accessioned | 2018-07-18T16:30:58Z | - |
dc.date.available | 2018-07-18T16:30:58Z | - |
dc.date.issued | 2006 | * |
dc.identifier.isbn | 3540464913 | * |
dc.identifier.isbn | 9783540464914 | * |
dc.identifier.issn | 0302-9743 | * |
dc.identifier.other | OAK-17736 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/245060 | - |
dc.description.abstract | We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various clustering algorithms. The proposed method combines partitions of various clustering algorithms by means of newly-proposed the selection and the crossover operation of the genetic algorithm (GA) during the evolutionary process. © Springer-Verlag Berlin Heidelberg 2006. | * |
dc.language | English | * |
dc.title | A novel framework for discovering robust cluster results | * |
dc.type | Conference Paper | * |
dc.relation.volume | 4265 LNAI | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 373 | * |
dc.relation.lastpage | 377 | * |
dc.relation.journaltitle | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | * |
dc.identifier.scopusid | 2-s2.0-33750709733 | * |
dc.author.google | Yoon H.-S. | * |
dc.author.google | Lee S.-H. | * |
dc.author.google | Cho S.-B. | * |
dc.author.google | Kim J.H. | * |
dc.contributor.scopusid | 이상호(56812941400) | * |
dc.date.modifydate | 20240322133058 | * |