Interpreting the Kohonen self-organizing feature map using contiguity-constrained clustering

F. Murtagh

Research output: Contribution to journalArticle

79 Citations (Scopus)

Abstract

An interpretation phase is proposed, to complement usage of the Kohonen self-organizing feature map (SOFM) method. This segments the SOFM output, using an agglomerative contiguity-constrained clustering method. We discuss why such a clustering method, which respects contiguity information, should be used. The contiguity-constrained clustering method implemented uses array operations as far as possible, and is thus quite efficient. An application to an astronomical catalog of about a quarter million objects is presented.

Original languageEnglish
Pages (from-to)399-408
Number of pages10
JournalPattern Recognition Letters
Volume16
Issue number4
DOIs
Publication statusPublished - Apr 1995
Externally publishedYes

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