Mostra el registre d'ítem simple
Understanding (dis)similarity measures
dc.contributor.author | Belanche Muñoz, Luis Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2016-05-31T12:35:44Z |
dc.date.available | 2016-05-31T12:35:44Z |
dc.date.issued | 2013-01 |
dc.identifier.citation | Belanche, Ll. "Understanding (dis)similarity measures". 2013. |
dc.identifier.uri | http://hdl.handle.net/2117/87543 |
dc.description.abstract | Intuitively, the concept of similarity is the notion to measure an inexact matching between two entities of the same reference set. The notions of similarity and its close relative dissimilarity are widely used in many fields of Artificial Intelligence. Yet they have many different and often partial definitions or properties, usually restricted to one field of application and thus incompatible with other uses. This paper contributes to the design and understanding of similarity and dissimilarity measures for Artificial Intelligence. A formal dual definition for each concept is proposed, joined with a set of fundamental properties. The behavior of the properties under several transformations is studied and revealed as an important matter to bear in mind. We also develop several practical examples that work out the proposed approach. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.relation.ispartofseries | LSI-12-16-R |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.other | Similarity measures |
dc.subject.other | Dissimilarity measures |
dc.subject.other | Artificial intelligence |
dc.title | Understanding (dis)similarity measures |
dc.type | External research report |
dc.contributor.group | Universitat Politècnica de Catalunya. SOCO - Soft Computing |
dc.rights.access | Open Access |
local.identifier.drac | 18543550 |
dc.description.version | Postprint (published version) |
local.citation.author | Belanche, Ll. |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Reports de recerca [55]
-
Reports de recerca [1.107]