Experimental analysis of crisp similarity and distance measures

Distance measures are a requirement in many classification systems. Euclidean distance is the most commonly used in these systems. However, there exists a huge number of distance and similarity measures. In this paper we present an experimental analysis of crisp distance and similarity measures applied to shapes classification and Arabic sentences recognition.