

knn1(class)                                  R Documentation

_1_-_n_e_a_r_e_s_t _n_e_i_g_h_b_o_u_r _c_l_a_s_s_i_f_i_c_a_t_i_o_n

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

     Nearest neighbour classification for test set from
     training set. For each row of the test set, the nearest
     (by Euclidean distance) training set vector is found,
     and its classification used. If there is more than one
     nearest, a majority vote is used with ties broken at
     random.

_U_s_a_g_e_:

     knn1(train, test, class)

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

   train: matrix or data frame of training set cases.

    test: matrix or data frame of test set cases. A vector
          will be interpreted as a row vector for a single
          case.

   class: factor of true classification of training set.

_V_a_l_u_e_:

     factor of classifications of test set.

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

     `knn'

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

     data(iris3)
     train <- rbind(iris3[1:25,,1],iris3[1:25,,2],iris3[1:25,,3])
     test <- rbind(iris3[26:50,,1],iris3[26:50,,2],iris3[26:50,,3])
     cl <- factor(c(rep("s",25),rep("c",25), rep("v",25)))
     knn1(train, test, cl)

