New Pattern Classification Approach

نویسندگان

  • Ondrej Lehecka
  • Milos Kudelka
  • Vaclav Snasel
چکیده

In this paper we are focusing on patterns and pattern classification. We are dealing how patterns from different domain can relate in solving more complex tasks. We try to design pattern classification reflecting pattern features. We assume that it can be very helpful in pattern searching. We assign classification attributes to patterns and use them to find pattern clusters. Each pattern cluster should offer different solutions for the same problem. It is also possible to navigate in pattern space thru pattern clusters or to specialize pattern cluster towards problem being solved. Finally we introduce new community based pattern portal containing pattern references and implementation of presented approach.

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تاریخ انتشار 2007