Classification using information statistics.

R. J. Johnston, R. K. Semple

    Research output: Contribution to journalArticlepeer-review

    26 Citations (Scopus)

    Abstract

    Information theory provides a means of analysing closed number sets, to categorize an individual distribution or to compare distributions. An inequality statistic, L, is derived which can be interpreted as a measure of the inequality of the distribution across components, and which is a special case of the general measure of information. A grouping procedure is introduced, which uses this statistic, so that all members of each group have similar distributions. An algorithm and FORTRAN computer program is provided to perform the procedure, which is illustrated by the application to social areas in cities, time series analysis, and trade flows. -A.C.Armstrong

    Original languageEnglish
    JournalCATMOG (Concepts & Techniques in Modern Geography)
    Volume37
    Publication statusPublished - 1983

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