Linear and quadratic classification toolbox for Matlab∗

نویسندگان

  • Vojtěch Franc
  • Václav Hlaváč
  • Michail I. Schlesinger
چکیده

The toolbox builds on Matlab and performs linear and quadratic statistical classification. It implements methods published in the recently appeared monograph [5]. Several of the reported methods are not widely known, provide solution to a more general tasks than before, and give a new systematic insight to the classical pattern recognition tasks. The toolbox is intended to demonstrate and help to understand algorithms for synthesis of linear or quadratic discrimination functions, mimimax learning, and unsupervised learning. There is a small new contribution reported in implementation of the generalized Anderson’s task.

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تاریخ انتشار 2000