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Home > Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II > Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II |
Hujun Yin; David Camacho; Peter Tino; Antonio J. Tallón-Ballesteros; Ronaldo Menezes; Richard Allmendinger
Springer International Publishing
Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II
Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine
Authors

Richard Torres-Molina; Carlos Bustamante-Orellana; Andrés Riofrío-Valdivieso; Francisco Quinga-Socasi; Robinson Guachi; Lorena Guachi-Guachi

ARI Id

1665223355791_5437735

Access

Not Available Free

Pages

89-96

DOI

10.1007/978-3-030-33617-2_10

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-33617-2_10

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