

   EEuurrooppeeaann UUnniioonn AAggrriiccuullttuurraall WWoorrkkffoorrcceess

        data(agriculture)

   FFoorrmmaatt::

        A data frame with 12 observations on 2 variables:

         [ , 1]     `x'     numeric     per capita GNP
         [ , 2]     `y'     numeric     percentage in agriculture

        The row names of the data frame indicate the countries.

   DDeessccrriippttiioonn::

        Gross National Product (GNP) per capita and percentage
        of the population working in agriculture for each coun-
        try belonging to the European Union in 1993.

   DDeettaaiillss::

        The data seem to show two clusters, the ``more agricul-
        tural'' one consisting of Greece, Portugal, Spain, and
        Ireland.

   SSoouurrccee::

        Eurostat (European Statistical Agency, 1994): Cijfers
        en feiten: Een statistisch portret van de Europese
        Unie.

   RReeffeerreenncceess::

        Anja Struyf, Mia Hubert & Peter J. Rousseeuw (1996):
        Clustering in an Object-Oriented Environment.  Journal
        of Statistical Software, 1.  <URL:
        http://www.stat.ucla.edu/journals/jss/>

   SSeeee AAllssoo::

        `agnes', `daisy', `diana'.

   EExxaammpplleess::

        data(agriculture)

        ## Compute the dissimilarities using Euclidean metric and without
        ## standardization
        daisy(agriculture, metric = "euclidean", stand = FALSE)

        ## Plot similar to Figure 3 in Struyf et al (1996)
        plot(pam(agriculture, 2))

        ## Plot similar to Figure 7 in Struyf et al (1996)
        plot(agnes(agriculture), ask = TRUE)

        data(agriculture)

        ## Compute the dissimilarities using Euclidean metric and without
        ## standardization
        daisy(agriculture, metric = "euclidean", stand = FALSE)

        ## Plot similar to Figure 3 in Struyf et al (1996)
        plot(pam(agriculture, 2))

        ## Plot similar to Figure 7 in Struyf et al (1996)
        plot(agnes(agriculture), ask = TRUE)

        ## Plot similar to Figure 8 in Struyf et al (1996)
        plot(diana(agriculture), ask = TRUE)

        data(agriculture)

        ## Compute the dissimilarities using Euclidean metric and without
        ## standardization
        daisy(agriculture, metric = "euclidean", stand = FALSE)

        ## Plot similar to Figure 3 in Struyf et al (1996)
        plot(pam(agriculture, 2))

        ## Plot similar to Figure 7 in Struyf et al (1996)
        plot(agnes(agriculture), ask = TRUE)

        data(agriculture)

        ## Compute the dissimilarities using Euclidean metric and without
        ## standardization
        daisy(agriculture, metric = "euclidean", stand = FALSE)

        ## Plot similar to Figure 3 in Struyf et al (1996)
        plot(pam(agriculture, 2))

        ## Plot similar to Figure 7 in Struyf et al (1996)
        plot(agnes(agriculture), ask = TRUE)

        ## Plot similar to Figure 8 in Struyf et al (1996)
        plot(diana(agriculture), ask = TRUE)

