animals               package:cluster               R Documentation

_A_t_t_r_i_b_u_t_e_s _o_f _A_n_i_m_a_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     This data set considers 6 binary attributes for 20 animals.

_U_s_a_g_e:

     data(animals)

_F_o_r_m_a_t:

     A data frame with 20 observations on 6 variables:

       [ , 1]  war  warm-blooded
       [ , 2]  fly  can fly
       [ , 3]  ver  vertebrate
       [ , 4]  end  endangered
       [ , 5]  gro  live in groups
       [ , 6]  hai  have hair

     All variables are encoded as 1 = `no', 2 = `yes'.

_D_e_t_a_i_l_s:

     This dataset is useful for illustrating monothetic (only a single
     variable is used for each split) hierarchical clustering.

_S_o_u_r_c_e:

     Leonard Kaufman and Peter J. Rousseeuw (1990): _Finding Groups in
     Data_ (pp 297ff). New York: Wiley.

_R_e_f_e_r_e_n_c_e_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/>

_E_x_a_m_p_l_e_s:

     data(animals)
     apply(animals,2, table) # simple overview

     ma <- mona(animals)
     ma
     ## Plot similar to Figure 10 in Struyf et al (1996)
     plot(ma)

