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Selection of the optimal parameter value for the Isomap algorithm

Samko, Oksana, Marshall, Andrew David ORCID: and Rosin, Paul L. ORCID: 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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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: 21 Oct 2022 10:56

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