A4 Article in conference proceedings
Feature Ranking of Large, Robust, and Weighted Clustering Result (2017)

Saarela, M., Hämäläinen, J., & Kärkkäinen, T. (2017). Feature Ranking of Large, Robust, and Weighted Clustering Result. In K. Jinho, S. Kyuseok, C. Longbing, L. Jae-Gil, L. Xuemin, & M. Yang-Sae (Eds.), Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I (pp. 96-109). Springer International Publishing. Lecture Notes in Computer Science, 10234. https://doi.org/10.1007/978-3-319-57454-7_8

JYU authors or editors

Publication details

All authors or editors: Saarela, Mirka; Hämäläinen, Joonas; Kärkkäinen, Tommi

Parent publication: Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I

Parent publication editors: Jinho, Kim; Kyuseok, Shim; Longbing, Cao; Jae-Gil, Lee; Xuemin, Lin; Yang-Sae, Moon

ISBN: 978-3-319-57453-0

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2017

Number in series: 10234

Pages range: 96-109

Number of pages in the book: 778

Publisher: Springer International Publishing

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-57454-7_8

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/53899

Free keywords: population analysis; Kruskal-Wallis test; robust clustering; educational knowledge discovery

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1