"Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick"

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Book	Author(s)	Year	Publisher
Euclidean and non-euclidean geometries /	Noronha, Maria Helena.	[2002], ©2002.	Prentice Hall,
Introduction to Non-Euclidean Geometry	Wolfe, Harold E	2013	Dover Publications
Introduction to non-Euclidean geometry	Harold Eichholtz Wolfe	©1945	Holt, Rinehart and Winston
Introduction to Non-Euclidean Geometry	H. Wolfe; Harold Eichholtz Wolfe	January 1995	Harcourt
Introduction to non-Euclidean geometry	Harold Eichholtz Wolfe	1945	Holt, Rinehart and Winston
Non-Euclidean geometry	H. S. M. Coxeter	1942	University of Toronto Press
Non-Euclidean geometry	H. S. M. Coxeter	1957	University of Toronto Press
Non-Euclidean geometry	Manning, Henry Parker	1901	Ginn & company
Non-Euclidean geometry.	Manning, Henry Parker	1901	Ginn
Non-Euclidean geometry	H. S. M. Coxeter	1961	University Press
Non-Euclidean geometry	H. S. M. Coxeter	1961	University of Toronto Press
Non-Euclidean geometry	Manning, Henry Parker	1901	Ginn & company
Non-Euclidean geometry	H. S. M. Coxeter	1965	The Unviversity of Toronto press
The Non-Euclidean Revolution	Richard J. Trudeau	1986	Birkhäuser Boston
Foundations of Euclidean and Non-Euclidean Geometry	Ellery B. Golos	1968	HOLT, RINEHART and WINSTON
Foundations of Euclidean and non-Euclidean geometry	Ellery B. Golos	1968	Holt, Rinehart and Winston
Foundations of Euclidean and non-Euclidean geometry	Ellery B. Golos	1968	Holt, Rinehart and Winston
An Introduction to Non-Euclidean Geometry	David Gans	1973	Academic Press
Approximation of Euclidean Metric by Digital Distances	Jayanta Mukhopadhyay	1st ed. 2020	Springer Nature Singapore
Geometry: modern mathematics via the Euclidean plane	Lawrence S. Levy	1970	Prindle, Weber & Schmidt
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Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick	Manuel Martín-Merino; Alberto Muñoz	Neural Information Processing: 11th International Conference, ICONIP 2004 Calcutta, India, November 22–25, 2004 Proceedings	Nikil R. Pal; Nikola Kasabov; Rajani K. Mudi; Srimanta Pal; Swapan K. Parui	2004	Springer Berlin Heidelberg
Non-Euclidean distances		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Euclidean Distances		Mining of massive datasets	Leskovec J., Rajaraman A., Ullman J.D	2014	Hachette Romans
Euclidean distances		Social networks
Euclidean distances		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Extending the SOM Algorithm to Visualize Word Relationships	Manuel Martín-Merino; Alberto Muñoz	Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings	A. Fazel Famili; Joost N. Kok; José M. Pena; Arno Siebes; Ad Feelders	2005	Springer Berlin Heidelberg
Kernel Trick		Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support	Ramesh Sharda, Dursun Delen, Efraim Turban	2019	Pearson
Kernel Trick		Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition)	Ramesh Sharda, Dursun Delen, Efraim Turban	2019	Pearson
Kernel Trick		Analytics, data science, & artificial intelligence: systems for decision support	Dursun Delen; Ramesh Sharda; Efraim Turban	2020	Pearson
Kernel Trick		Business intelligence and analytics: systems for decision support	Sharda, Ramesh; Turban, Efraim; Delen, Dursun; Aronson, Janine	2013;2015	Pearson
Kernel trick		Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems	Amita Kapoor	2019	Packt Publishing
Formulating distance functions via the kernel trick	G. Wu, E. Y. Chang and N. Panda	KDD-2005: proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: August 21-24, 2005, Chicago, Illinois, USA /	Grossman, Robert,; Bayardo, Roberto.; Bennett, Kristin P.; Vaidya, Jaideep.	2005.	ACM Press,
The Kernel Trick		Thoughtful Machine Learning: A Test-Driven Approach	Kirk, Matthew	2014;2015	O'Reilly Media
The Kernel Trick		Investigating Simple Organisms: Life Science	Lisa Zamosky	2008	Teacher Created Materials
The Kernel Trick		Programming Collective Intelligence: Building Smart Web 2. 0 Applications	Toby Segaran	2007	O'Reilly Media
The kernel trick		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Extending the SOM	Peter Sarlin	Mapping Financial Stability	Peter Sarlin	2014	Springer Berlin Heidelberg
The Euclidean plane: distances		Linear Algebra Illustrated	Peter Saveliev	2019
The Euclidean plane: distances		Calculus Illustrated. Volume 1: Precalculus	Peter Saveliev	2019
Kernel functions and the kernel trick		Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2	by Sebastian Raschka (Author), Vahid Mirjalili (Author)	2019	Packt
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