Normalization of distance and similarity in sequence analysis
Titre | Normalization of distance and similarity in sequence analysis |
Type de publication | Book Chapter |
Year of Publication | 2016 |
Auteurs | Elzinga, C, Studer, M |
Book Title | Proceedings of the International Conference on Sequence Analysis and Related Methods (LaCOSA II) |
Pagination | 445-468 |
Publisher | NCCR LIVES |
Place Published | Lausanne, Switzerland |
Mots-clés | distance, normalization, sequence analysis, similarity |
Résumé | We explore the relations between the notion of distance and a feature set based concept of similarity and show that this concept of similarity has a spatial interpretation that is complementary to distance: it is interpreted as “direction”. Furthermore, we show how proper normalization leads to distances that can be directly interpreted as dissimilarity: closeness in normalized space implies and is implied by similarity of the same objects while remoteness implies and is implied by dissimilarity. Finally, we show how, in research into de-standardization of the life course, properly normalizing may drastically and unequivocally change our interpretation of inter-cohortal distances. |
URL | https://lacosa.lives-nccr.ch/sites/lacosa.lives-nccr.ch/files/lacosa2-proceedings.pdf |
Refereed Designation | Refereed |