Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures

Faisal Saeed; Naomie Salim

doi:10.1007/978-3-642-45068-6_16

Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures

Faisal Saeed^*, Naomie Salim

^*Corresponding author for this work

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

1 Citation (SciVal)

Original language	English
Title of host publication	Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
Pages	181-190
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-45068-6_16
Publication status	Published (VoR) - 2013
Event	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 - Singapore, Singapore Duration: 9 Dec 2013 → 11 Dec 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8281 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
Country/Territory	Singapore
City	Singapore
Period	9/12/13 → 11/12/13

Keywords

Compound selection
Cumulative voting
Ensemble clustering
Graph partitioning
Mutual Information
Shannon Entropy

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10.1007/978-3-642-45068-6_16

Cite this

Saeed, F., & Salim, N. (2013). Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings (pp. 181-190). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS). https://doi.org/10.1007/978-3-642-45068-6_16

Saeed, Faisal ; Salim, Naomie. / Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures. Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. pp. 181-190 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{83e402564d24494592fca7cb81c212ab,

title = "Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures",

keywords = "Compound selection, Cumulative voting, Ensemble clustering, Graph partitioning, Mutual Information, Shannon Entropy",

author = "Faisal Saeed and Naomie Salim",

year = "2013",

doi = "10.1007/978-3-642-45068-6_16",

language = "English",

isbn = "9783642450679",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "181--190",

booktitle = "Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings",

note = "9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 ; Conference date: 09-12-2013 Through 11-12-2013",

}

Saeed, F & Salim, N 2013, Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures. in Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8281 LNCS, pp. 181-190, 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013, Singapore, Singapore, 9/12/13. https://doi.org/10.1007/978-3-642-45068-6_16

Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures. / Saeed, Faisal; Salim, Naomie.
Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. p. 181-190 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8281 LNCS).

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

TY - GEN

T1 - Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures

AU - Saeed, Faisal

AU - Salim, Naomie

PY - 2013

Y1 - 2013

KW - Compound selection

KW - Cumulative voting

KW - Ensemble clustering

KW - Graph partitioning

KW - Mutual Information

KW - Shannon Entropy

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DO - 10.1007/978-3-642-45068-6_16

M3 - Conference contribution

AN - SCOPUS:84893259493

SN - 9783642450679

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 181

EP - 190

BT - Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings

T2 - 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013

Y2 - 9 December 2013 through 11 December 2013

ER -

Saeed F, Salim N. Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures. In Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings. 2013. p. 181-190. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-45068-6_16

Weighted cumulative voting-based aggregation algorithm for combining multiple clusterings of chemical structures

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Keywords

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