Density-penalized distance measure for clustering

Behrouz Haji Soleimani; Stan Matwin; Erico N. De Souza

doi:10.1007/978-3-319-18356-5_21

Density-penalized distance measure for clustering

Behrouz Haji Soleimani, Stan Matwin, Erico N. De Souza

Engineering

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

4 Citations (Scopus)

Original language	English
Title of host publication	Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding
Editors	Denilson Barbosa, Evangelos Milios
Publisher	Springer Verlag
Pages	238-249
Number of pages	12
ISBN (Print)	9783319183558
DOIs	https://doi.org/10.1007/978-3-319-18356-5_21
Publication status	Published - 2015
Event	28th Canadian Conference on Artificial Intelligence, Canadian AI 2015 - Halifax, Canada Duration: Jun 2 2015 → Jun 5 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9091
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	28th Canadian Conference on Artificial Intelligence, Canadian AI 2015
Country/Territory	Canada
City	Halifax
Period	6/2/15 → 6/5/15

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-319-18356-5_21

Cite this

Soleimani, B. H., Matwin, S., & De Souza, E. N. (2015). Density-penalized distance measure for clustering. In D. Barbosa, & E. Milios (Eds.), Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding (pp. 238-249). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9091). Springer Verlag. https://doi.org/10.1007/978-3-319-18356-5_21

Density-penalized distance measure for clustering. / Soleimani, Behrouz Haji; Matwin, Stan; De Souza, Erico N.
Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding. ed. / Denilson Barbosa; Evangelos Milios. Springer Verlag, 2015. p. 238-249 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9091).

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

Soleimani, BH, Matwin, S & De Souza, EN 2015, Density-penalized distance measure for clustering. in D Barbosa & E Milios (eds), Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9091, Springer Verlag, pp. 238-249, 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Halifax, Canada, 6/2/15. https://doi.org/10.1007/978-3-319-18356-5_21

Soleimani BH, Matwin S, De Souza EN. Density-penalized distance measure for clustering. In Barbosa D, Milios E, editors, Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding. Springer Verlag. 2015. p. 238-249. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-18356-5_21

Soleimani, Behrouz Haji ; Matwin, Stan ; De Souza, Erico N. / Density-penalized distance measure for clustering. Advances in Artificial Intelligence - 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, Proceeding. editor / Denilson Barbosa ; Evangelos Milios. Springer Verlag, 2015. pp. 238-249 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Density-penalized distance measure for clustering

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