

Vehicle(mlbench)                             R Documentation

_V_e_h_i_c_l_e _S_i_l_h_o_u_e_t_t_e_s

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

     The purpose is to classify a given silhouette as one of
     four types of vehicle, using a set of features
     extracted from the silhouette. The vehicle may be
     viewed from one of many different angles. The features
     were extracted from the silhouettes by the HIPS (Hier-
     archical Image Processing System) extension BINATTS,
     which extracts a combination of scale independent fea-
     tures utilising both classical moments based measures
     such as scaled variance, skewness and kurtosis about
     the major/minor axes and heuristic measures such as
     hollows, circularity, rectangularity and compactness.

     Four "Corgie" model vehicles were used for the experi-
     ment: a double decker bus, Cheverolet van, Saab 9000
     and an Opel Manta 400. This particular combination of
     vehicles was chosen with the expectation that the bus,
     van and either one of the cars would be readily distin-
     guishable, but it would be more difficult to distin-
     guish between the cars.

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

     data(Vehicle)

_F_o_r_m_a_t_:

     A data frame with 846 observations on 19 variables, all
     numerical and one nominal defining the class of the
     objects.

      [,1]      Comp             Compactness
      [,2]      Circ             Circularity
      [,3]      D.Circ           Distance Circularity
      [,4]      Rad.Ra           Radius ratio
      [,5]      Pr.Axis.Ra       pr.axis aspect ratio
      [,6]      Max.L.Ra         max.length aspect ratio
      [,7]      Scat.Ra          scatter ratio
      [,8]      Elong            elongatedness
      [,9]      Pr.Axis.Rect     pr.axis rectangularity
      [,10]     Max.L.Rect       max.length rectangularity
      [,11]     Sc.Var.Maxis     scaled variance along major axis
      [,12]     Sc.Var.maxis     scaled variance along minor axis
      [,13]     Ra.Gyr           scaled radius of gyration
      [,14]     Skew.Maxis       skewness about major axis
      [,15]     Skew.maxis       skewness about minor axis
      [,16]     Kurt.maxis       kurtosis about minor axis
      [,17]     Kurt.Maxis       kurtosis about major axis
      [,18]     Holl.Ra          hollows ratio
      [,19]     Class            type

_S_o_u_r_c_e_:

        * Creator: Drs.Pete Mowforth and Barry Shepherd,
          Turing Institute, Glasgow, Scotland.

     These data have been taken from the UCI Repository Of
     Machine Learning Databases at

        * ftp.ics.uci.edu://pub/machine-learning-databases

        * http://www.ics.uci.edu/mlearn/MLRepository.html

     and were converted to R format by Evgenia.Dimitri-
     adou@ci.tuwien.ac.at.

_R_e_f_e_r_e_n_c_e_s_:

     Turing Institute Research Memorandum TIRM-87-018 "Vehi-
     cle Recognition Using Rule Based Methods" by Siebert,JP
     (March 1987)

