CINECA IRIS Institutional Research Information System

IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.

Prodotti recenti

Mixture of copulae based approach for defining the subjects distance in cluster analysis

We define a new distance measure for ranking data by using a mixture of copula functions. This distance evaluates the dissimilarity between subjects expressing their preferences by rankings in order to segment them by hierarchical cluster analysis. The proposed distance builds upon the&...

Comparing clusterings by copula information based distance

Objects can be clustered in many different ways. As a matter of fact there are several cluster analysis methods that can produce different clusterings on the same dataset. Moreover, even when a single algorithm is used, different alternative clusterings can easily be generated, sim...

Defining the subjects distance in hierarchical cluster analysis by copula approach

We propose a new measure to evaluate the dissimilarity between rankings in hierarchical cluster analysis to segment subjects expressing their preferences by rankings. The proposed index builds upon the Spearman grade correlation coecient on a transformation of the ordinal variables that desc...

Corrosion phenomena on Aluminium alloys spontaneously mitigated in natural seawater - Fenomeni corrosivi su leghe d’alluminio mitigati spontaneamente in acqua di mare naturale

Although Aluminium alloys are known to exhibit generally good corrosion resistance in natural seawater, they may encounter generalized and localized corrosion phenomena. In this work, an Aluminium alloy casted ad hoc referring to the AA 5083 composition was tested in artificial vs. natu...

Dissimilarity measure for ranking data via mixture of copulae

We propose a new dissimilarity measure for ranking data by using a mixture of copula functions. This measure evaluates the dissimilarity between subjects expressing their preferences by rankings in order to classify them by a hierarchical cluster analysis. The proposed measure is based&...

CINECA IRIS Institutional Research Information System

Prodotti recenti

Mixture of copulae based approach for defining the subjects distance in cluster analysis

Comparing clusterings by copula information based distance

Defining the subjects distance in hierarchical cluster analysis by copula approach

Corrosion phenomena on Aluminium alloys spontaneously mitigated in natural seawater - Fenomeni corrosivi su leghe d’alluminio mitigati spontaneamente in acqua di mare naturale

Dissimilarity measure for ranking data via mixture of copulae

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