myclus                 package:SAGx                 R Documentation

_A _c_l_u_s_t_e_r_i_n_g _f_u_n_c_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Uses a hierarchical clustering to initiate a kmeans clustering.

_U_s_a_g_e:

     myclus(data = swiss, k = 3)

_A_r_g_u_m_e_n_t_s:

    data: The data matrix

       k: the number of clusters

_V_a_l_u_e:

     a list from function kmeans

_A_u_t_h_o_r(_s):

     From Ripley and Venables

_R_e_f_e_r_e_n_c_e_s:

     Venables, W.N. and Ripley, B.D (2000) _Modern Applied Statistics
     with S-PLUS_, Springer

_E_x_a_m_p_l_e_s:

     library(MASS)
     data(swiss)
     cl <- myclus(data = swiss, k = 3)
     gap(swiss,cl$cluster)

