The Extended Edit Distance Metric
Résumé
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers recently, since it reduces the dimensionality of these high dimensional data objects. We propose a new distance metric that is applied to symbolic data objects and we test it on time series data bases in a classification task. We compare it to other distances that are well known in the literature for symbolic data objects. We also prove, mathematically, that our distance is metric.
Fichier principal
The_Extended_Edit_Distance_Metric-Version_HAL.pdf (162.76 Ko)
Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...