This paper proposes a novel method for supervised classification based on the methodology of Q-analysis. The classification is based on finding `relevant' structures in the features describing the data, and using them to define each of the classes. The features not included in the structural definition of a class are considered as `irrelevant'. The paper uses three diferent data-sets to experimentally validate the method.
|Title of host publication||RoboCup 2005: Robot Soccer World Cup IX|
|Place of Publication||Berlin|
|Number of pages||12|
|Publication status||Published - 2005|
|Name||Lecture Notes in Computer Science|