GUIspatClust            package:clustTool            R Documentation

_G_U_I _f_o_r _p_a_c_k_a_g_e _c_l_u_s_t_T_o_o_l

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

     Graphical user interface (GUI) for package 'clustTool'.

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

     GUIspatClust()

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

     Cluster results can change dramatically with the choice of the
     clustering method, the distance measure, and the number of
     clusters. Moreover, depending on the selected validity measure, a
     different answers result for the optimal number of clusters.
     Despite of the changing cluster results, each partition could
     still be informative and valuable. The results can give an
     interesting insight into the multivariate data structure even if
     the validity measure does not suggest the optimum for the chosen
     cluster number. It is thus desirable to perform cluster analysis
     in an exploratory context, by changing the cluster parameters and
     visually inspecting the results. 

     For this purpose, this statistical tool has been developed. Data,
     subsets of the data, coordinates and maps can be selected.
     Different parameters like the distance measure, the clustering
     method, the number of clusters, and the validity measure can be
     chosen. Depending on the selection, the clusters can be presented
     in maps and plots of the cluster centres are provided.

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

     The plots of interest.

     Additionally, informations about the cluster result are printed in
     the R console.

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

     Matthias Templ

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

     'clust', 'clustPlot','prepare'

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

      GUIspatClust()

