NL repository
menu
검색
Library
Browse
Communities & Collections
By Date
Authors
Titles
Subject
My Repository
My Account
Receive email updates
Edit Profile
DSpace at EWHA
인공지능대학
컴퓨터공학과
Journal papers
View : 708 Download: 0
A novel framework for discovering robust cluster results
Title
A novel framework for discovering robust cluster results
Authors
Yoon H.-S.
;
Lee S.-H.
;
Cho S.-B.
;
Kim J.H.
Ewha Authors
이상호
SCOPUS Author ID
이상호
Issue Date
2006
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4265 LNAI, pp. 373 - 377
Indexed
SCOPUS
Document Type
Conference Paper
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.
ISBN
3540464913
9783540464914
Appears in Collections:
인공지능대학
>
컴퓨터공학과
>
Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML
Show full item record
Find@EWHA
트윗하기
BROWSE
Communities & Collections
By Date
Authors
Titles
Subject