image-methods           package:flexclust           R Documentation

_M_e_t_h_o_d_s _f_o_r _F_u_n_c_t_i_o_n _i_m_a_g_e _i_n _P_a_c_k_a_g_e '_f_l_e_x_c_l_u_s_t'

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

     Image plot of cluster segments overlaid by neighbourhood graph.

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

     ## S4 method for signature 'kcca':
     image(x, which = 1:2, npoints = 100,
              xlab = "", ylab = "", fastcol = TRUE, col=NULL,
              clwd=0, graph=TRUE, ...)

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

       x: An object of class '"kcca"'.

   which: Index number of dimensions of input space to plot.

 npoints: Number of grid points for image.

 fastcol: If 'TRUE', a greedy algorithm is used for the background
          colors of the segments, which may result in neighbouring
          segments having the same color. If 'FALSE', neighbouring
          segments always have different colors at a speed penalty.

     col: Vector of background colors for the segments.

    clwd: Line width of contour lines at cluster boundaries, use larger
          values for 'npoints' than the default to get smooth lines.
          (Warning: We really need a smarter way to draw cluster
          boundaries!)

   graph: Logical, add a neighborhood graph to the plot?

xlab, ylab, ...: Graphical parameters.

_D_e_t_a_i_l_s:

     This works only for '"kcca"' objects, no method is available for
     "kccasimple" objects.

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

     Friedrich Leisch

_S_e_e _A_l_s_o:

     'kcca'

