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Selection of the optimal parameter value for the Isomap algorithm

Samko, Oksana, Marshall, Andrew David and Rosin, Paul L. 2006. Selection of the optimal parameter value for the Isomap algorithm. Pattern Recognition Letters 27 (9) , pp. 968-979. 10.1016/j.patrec.2005.11.017

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Abstract

The isometric feature mapping (Isomap) method has demonstrated promising results in finding low-dimensional manifolds from data points in high-dimensional input space. Isomap has one free parameter (number of nearest neighbours K or neighbourhood radius ϵ), which has to be specified manually. In this paper we present a new method for selecting the optimal parameter value for Isomap automatically. Numerous experiments on synthetic and real data sets show the effectiveness of our method.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Nonlinear dimensionality reduction; Manifold learning; Isomap
Publisher: Elsevier
ISSN: 0167-8655
Last Modified: 04 Jun 2017 04:37
URI: http://orca-mwe.cf.ac.uk/id/eprint/41775

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