Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm

Faisal Saeed; Naomie Salim; Ammar Abdo; Hamza Hentabli

doi:10.1007/978-3-642-36543-0_19

Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm

Faisal Saeed^*, Naomie Salim, Ammar Abdo, Hamza Hentabli

^*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	Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings
Pages	178-185
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-36543-0_19
Publication status	Published (VoR) - 2013
Event	5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013 - Kuala Lumpur, Malaysia Duration: 18 Mar 2013 → 20 Mar 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7803 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013
Country/Territory	Malaysia
City	Kuala Lumpur
Period	18/03/13 → 20/03/13

Keywords

Consensus clustering
Cumulative voting
Data fusion
Molecular datasets
Ward's clustering

Access to Document

10.1007/978-3-642-36543-0_19

Cite this

Saeed, F., Salim, N., Abdo, A., & Hentabli, H. (2013). Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm. In Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings (PART 2 ed., pp. 178-185). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7803 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-36543-0_19

Saeed, Faisal ; Salim, Naomie ; Abdo, Ammar et al. / Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm. Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2. ed. 2013. pp. 178-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{7098e871950547c9803efeeaad72af2f,

title = "Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm",

keywords = "Consensus clustering, Cumulative voting, Data fusion, Molecular datasets, Ward's clustering",

author = "Faisal Saeed and Naomie Salim and Ammar Abdo and Hamza Hentabli",

year = "2013",

doi = "10.1007/978-3-642-36543-0_19",

language = "English",

isbn = "9783642365423",

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

number = "PART 2",

pages = "178--185",

booktitle = "Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings",

edition = "PART 2",

note = "5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013 ; Conference date: 18-03-2013 Through 20-03-2013",

}

Saeed, F, Salim, N, Abdo, A & Hentabli, H 2013, Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm. in Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7803 LNAI, pp. 178-185, 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013, Kuala Lumpur, Malaysia, 18/03/13. https://doi.org/10.1007/978-3-642-36543-0_19

Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm. / Saeed, Faisal; Salim, Naomie; Abdo, Ammar et al.
Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2. ed. 2013. p. 178-185 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7803 LNAI, No. PART 2).

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

TY - GEN

T1 - Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm

AU - Saeed, Faisal

AU - Salim, Naomie

AU - Abdo, Ammar

AU - Hentabli, Hamza

PY - 2013

Y1 - 2013

KW - Consensus clustering

KW - Cumulative voting

KW - Data fusion

KW - Molecular datasets

KW - Ward's clustering

UR - http://www.scopus.com/inward/record.url?scp=84874594697&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874594697&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-36543-0_19

DO - 10.1007/978-3-642-36543-0_19

M3 - Conference contribution

AN - SCOPUS:84874594697

SN - 9783642365423

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

SP - 178

EP - 185

BT - Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings

T2 - 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013

Y2 - 18 March 2013 through 20 March 2013

ER -

Saeed F, Salim N, Abdo A, Hentabli H. Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm. In Intelligent Information and Database Systems - 5th Asian Conference, ACIIDS 2013, Proceedings. PART 2 ed. 2013. p. 178-185. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-36543-0_19

Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this