Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction

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

Original language	English
Title of host publication	Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings
Publisher	Springer
Pages	236-246
Number of pages	11
ISBN (Print)	978-3-030-01850-4
DOIs	https://doi.org/10.1007/978-3-030-01851-1_23
Publication status	Published - 2018
Publication type	A4 Article in conference proceedings
Event	Foundations of Intelligent Systems - Duration: 29 Oct 2018 → 31 Jan 2019

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	11177

Conference	Foundations of Intelligent Systems
Period	29/10/18 → 31/01/19

Publication forum classification

Kampman, I., & Elomaa, T. (2018). Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction. In Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings (pp. 236-246). ( Lecture Notes in Artificial Intelligence; Vol. 11177). Springer. https://doi.org/10.1007/978-3-030-01851-1_23

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title = "Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction",

author = "Ilari Kampman and Tapio Elomaa",

year = "2018",

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language = "English",

isbn = "978-3-030-01850-4",

series = " Lecture Notes in Artificial Intelligence",

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pages = "236--246",

booktitle = "Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings",

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Kampman, I & Elomaa, T 2018, Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction. in Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Lecture Notes in Artificial Intelligence, vol. 11177, Springer, pp. 236-246, Foundations of Intelligent Systems, 29/10/18. https://doi.org/10.1007/978-3-030-01851-1_23

Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction. / Kampman, Ilari; Elomaa, Tapio.
Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Springer, 2018. p. 236-246 ( Lecture Notes in Artificial Intelligence; Vol. 11177).

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

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T1 - Hierarchical Clustering of High-Dimensional Data Without Global Dimensionality Reduction

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