

animals(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 ani-
     mals.

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

