Vehicle               package: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
     (Hierarchical Image Processing System) extension BINATTS, which
     extracts a combination of scale independent features 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 experiment: 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 distinguishable, but it would be more difficult to
     distinguish 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

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

        *  <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>

     and were converted to R format by
     Evgenia.Dimitriadou@ci.tuwien.ac.at.

_R_e_f_e_r_e_n_c_e_s:

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

