mlbench.ringnorm           package:mlbench           R Documentation

_R_i_n_g_n_o_r_m _B_e_n_c_h_m_a_r_k _P_r_o_b_l_e_m

_D_e_s_c_r_i_p_t_i_o_n:

     The inputs of the ringnorm problem are points from two Gaussian
     distributions. Class 1 is multivariate normal with mean 0 and
     covariance 4 times the identity matrix. Class 2 has unit
     covariance and mean (a,a,...,a), a=d^{-0.5}.

_U_s_a_g_e:

     mlbench.ringnorm(n, d=20)

_A_r_g_u_m_e_n_t_s:

       n: number of patterns to create

       d: dimension of the ringnorm problem

_V_a_l_u_e:

     Returns an object of class '"mlbench.ringnorm"' with components 

       x: input values

 classes: factor vector of length 'n' with target classes

_R_e_f_e_r_e_n_c_e_s:

     Breiman, L. (1996). Bias, variance, and arcing classifiers. Tech.
     Rep. 460, Statistics Department, University of California,
     Berkeley, CA, USA.

_E_x_a_m_p_l_e_s:

     p<-mlbench.ringnorm(1000, d=2)
     plot(p)

