Relationship between diversity and correlation in Multi-Classifier Systems

Kuo Wei Hsu, Jaideep Srivastava

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

6 Citations (Scopus)

Abstract

Diversity plays an important role in the design of Multi-Classifier Systems, but its relationship to classification accuracy is still unclear from a theoretical perspective. As a step towards the solution of this probelm, we take a different route and explore the relationship between diversity and correlation. In this paper we provide a theoretical analysis and present a nonlinear function that relates diversity to correlation, which hence can be further related to accuracy. This paper contributes to connecting existing research in diversity and correlation, and also providing a proxy to the relationship between diversity and accuracy. Our experimental results reveal deeper insights into the role of diversity in Multi-Classifier Systems.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages500-506
Number of pages7
Volume6119 LNAI
EditionPART 2
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010 - Hyderabad
Duration: 21 Jun 201024 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6119 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010
CityHyderabad
Period21/6/1024/6/10

Fingerprint

Classifiers
Classifier
Nonlinear Function
Relationships
Theoretical Analysis
Experimental Results

Keywords

  • Correlation
  • Diversity
  • Multi-Classifier System (MCS)

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Hsu, K. W., & Srivastava, J. (2010). Relationship between diversity and correlation in Multi-Classifier Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6119 LNAI, pp. 500-506). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6119 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-13672-6_47

Relationship between diversity and correlation in Multi-Classifier Systems. / Hsu, Kuo Wei; Srivastava, Jaideep.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6119 LNAI PART 2. ed. 2010. p. 500-506 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6119 LNAI, No. PART 2).

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

Hsu, KW & Srivastava, J 2010, Relationship between diversity and correlation in Multi-Classifier Systems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6119 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6119 LNAI, pp. 500-506, 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010, Hyderabad, 21/6/10. https://doi.org/10.1007/978-3-642-13672-6_47
Hsu KW, Srivastava J. Relationship between diversity and correlation in Multi-Classifier Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 6119 LNAI. 2010. p. 500-506. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-13672-6_47
Hsu, Kuo Wei ; Srivastava, Jaideep. / Relationship between diversity and correlation in Multi-Classifier Systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6119 LNAI PART 2. ed. 2010. pp. 500-506 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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