In this paper, a new concept of similarity is introduced with the aim of detecting higher-order similarities among objects, and meta-distances and meta-similarities are derived from it. A total of 100 meta-distances were obtained from a set of ten classical distances and were compared, in terms of classification performances, against classical distance measures. Classification methods based on local similarity analysis and several benchmark datasets were used. In several cases, the non-error rate (NER) of classifiers based on the new meta-distances significantly increased with respect to that of the classical Euclidean distance.

Todeschini, R., Ballabio, D., Consonni, V., Grisoni, F. (2016). A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 157, 50-57 [10.1016/j.chemolab.2016.06.013].

A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods

TODESCHINI, ROBERTO
Primo
;
BALLABIO, DAVIDE
Secondo
;
CONSONNI, VIVIANA
Penultimo
;
GRISONI, FRANCESCA
Ultimo
2016

Abstract

In this paper, a new concept of similarity is introduced with the aim of detecting higher-order similarities among objects, and meta-distances and meta-similarities are derived from it. A total of 100 meta-distances were obtained from a set of ten classical distances and were compared, in terms of classification performances, against classical distance measures. Classification methods based on local similarity analysis and several benchmark datasets were used. In several cases, the non-error rate (NER) of classifiers based on the new meta-distances significantly increased with respect to that of the classical Euclidean distance.
Articolo in rivista - Articolo scientifico
BNN; Classification; Distance measures; KNN; Meta-distances; N3; Similarity measures;
distance, similarity, chemometrics, multivariat analysis
English
23-giu-2016
2016
157
50
57
reserved
Todeschini, R., Ballabio, D., Consonni, V., Grisoni, F. (2016). A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 157, 50-57 [10.1016/j.chemolab.2016.06.013].
File in questo prodotto:
File Dimensione Formato  
2016_Todeschini_Ballabio_Chemolab.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Dimensione 1.29 MB
Formato Adobe PDF
1.29 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/124649
Citazioni
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 21
Social impact