clustOutput-class        package:MLInterfaces        R Documentation

_C_l_a_s_s "_c_l_u_s_t_O_u_t_p_u_t" _c_o_n_t_a_i_n_e_r _f_o_r _c_l_u_s_t_e_r _a_n_a_l_y_s_i_s _r_e_s_u_l_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     container for cluster analysis results

_O_b_j_e_c_t_s _f_r_o_m _t_h_e _C_l_a_s_s:

     Objects can be created by calls of the form 'new("clustOutput",
     ...)'.

_S_l_o_t_s:

     '_c_l_u_s_t_I_n_d_i_c_e_s': Object of class 'MLLabel'  

     '_c_l_u_s_t_S_c_o_r_e_s': Object of class 'MLScore', when a numerical figure
          of clustering is available  

     '_m_e_t_h_o_d': Object of class '"character"' tag indicating name of
          procedure 

     '_R_O_b_j_e_c_t': Object of class '"ANY"' unprocessed output of the
          clustering function 

     '_c_a_l_l': Object of class '"call"' audit of the call that created
          the object 

     '_d_i_s_t_M_a_t': Object of class '"dist"' distance among objects 

_E_x_t_e_n_d_s:

     Class '"MLOutput"', directly.

_M_e_t_h_o_d_s:

     _s_h_o_w 'signature(object = "clustOutput")': concise report 

     _s_i_l_h_o_u_e_t_t_e_B 'signature(out = "clustOutput")': compute the
          'silhouette' object corresponding to the partition 

_A_u_t_h_o_r(_s):

     VJ Carey <stvjc@channing.harvard.edu>

_S_e_e _A_l_s_o:

     '"classifOutput"'

_E_x_a_m_p_l_e_s:

     showClass("clustOutput")

      library(golubEsets)
      data(Golub_Merge)
      train <- c(sample(1:47, 23), sample(48:72, 12))
      agOut <- agnesB(Golub_Merge[100:200,], 3)
      agOut
      sil.ag <- silhouetteB(agOut)
      plot(sil.ag, main="Silhouette Plot for Agnes Clustering")

