A Meta Learning Approach: Classification by Cluster Analysis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This paper describes a new meta-learning technique of combining multiple classifiers based on cluster analysis.

Original language	English
Title of host publication	Artificial Intelligence: Methodology, Systems, and Applications Lecture Notes in Computer Science
Publisher	Springer
Pages	267-268
ISBN (Print)	978-3-642-15430-0
Publication status	Published (in print/issue) - 2010

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title = "A Meta Learning Approach: Classification by Cluster Analysis",

abstract = "This paper describes a new meta-learning technique of combining multiple classifiers based on cluster analysis.",

author = "Anna Jurek and Yaxin Bi and Shengli Wu and Nugent, \{Chris D.\}",

year = "2010",

language = "English",

isbn = "978-3-642-15430-0",

pages = "267--268",

booktitle = "Artificial Intelligence: Methodology, Systems, and Applications Lecture Notes in Computer Science",

publisher = "Springer",

address = "Switzerland",

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TY - CHAP

T1 - A Meta Learning Approach: Classification by Cluster Analysis

AU - Jurek, Anna

AU - Bi, Yaxin

AU - Wu, Shengli

AU - Nugent, Chris D.

PY - 2010

Y1 - 2010

N2 - This paper describes a new meta-learning technique of combining multiple classifiers based on cluster analysis.

AB - This paper describes a new meta-learning technique of combining multiple classifiers based on cluster analysis.

M3 - Chapter

SN - 978-3-642-15430-0

SP - 267

EP - 268

BT - Artificial Intelligence: Methodology, Systems, and Applications Lecture Notes in Computer Science

PB - Springer

ER -