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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/808886

Title: Variations of the two-spiral task
Author/Creator: Chalup, Stephan K.; Wiklendt, Lukasz
Description: The two-spiral task is a well-known benchmark for binary classification. The data consist of points on two intertwined spirals which cannot be linearly separated. This article reviews how this task and some of its variations have significantly inspired the development of several important methods in the history of artificial neural networks. The two-spiral task became popular for several different reasons: (1) it was regarded as extremely challenging; (2) it belonged to a suite of standard benchmark tasks; and (3) it had visual appeal and was convenient to use in pilot studies. The article also presents an example which demonstrates how small variations of the two-spiral task such as relative rotations of the two spirals can lead to qualitatively different generalisation results.
Relation: Connection Science Vol. 19, Issue 2, p. 183-199
Publisher Link: http://dx.doi.org/10.1080/09540090701398017
Date: 2007
Publisher: Taylor & Francis
Keyword(s): benchmarking; classification; generalisation; support vector machines
Resource Type: journal article
Rights: This is an electronic version of an article published in Connection Science Volume 19. Connection Science is available online at: http://www.informaworld.com/smpp/title~content=t713411269
Identifier: http://hdl.handle.net/1959.13/808886
Identifier: ISSN:0954-0091
Language: eng

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