Mariaelena Bottazzi Schenone
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View article: A novel clustering method with maximum number of ordered centroids and stable clusters for optimal ranking in a univariate setting
A novel clustering method with maximum number of ordered centroids and stable clusters for optimal ranking in a univariate setting Open
This paper proposes an innovative method to determine the optimal ranking of a set of univariate units in the maximum number of clusters with sortable centroids. Units within the identified clusters are considered equivalent, while units b…
View article: Clustering for ranking multivariate data by Linear Ordered Partitions
Clustering for ranking multivariate data by Linear Ordered Partitions Open
This paper explores the use of clustering to rank multivariate observations by linking ranking to clustering through the Linear Ordered Partition (LOP) concept. A LOP allows optimal clustering into ordered “ equivalence classes ”. In fact,…
View article: Uncovering socioeconomic disparities in European regions: a Tucker 3 clustering approach
Uncovering socioeconomic disparities in European regions: a Tucker 3 clustering approach Open
This study presents a multidimensional analysis of socioeconomic disparities across European regions between 2019 and 2023, focusing on key Sustainable Development Goal (SDG) indicators related to poverty (SDG 1), quality education (SDG 4)…
View article: Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts
Ultrametric Factor Analysis for Building Hierarchies of Reliable and Unidimensional Latent Concepts Open
This article introduces a novel methodology to model the hierarchical dependence structure of manifest variables (MVs). This is done by reconstructing their correlation matrix considering a hierarchy of latent factors which forms an ultram…
View article: Mapping Potential Natural Vegetation Through a Quantitative and Multivariate Approach. The Case Study of Campobasso Functional Urban Area (Italy)
Mapping Potential Natural Vegetation Through a Quantitative and Multivariate Approach. The Case Study of Campobasso Functional Urban Area (Italy) Open
View article: Mapping Potential Natural Vegetation Through a Quantitative and Multivariate Approach. The Case Study of Campobasso Functional Urban Area (Italy)
Mapping Potential Natural Vegetation Through a Quantitative and Multivariate Approach. The Case Study of Campobasso Functional Urban Area (Italy) Open
View article: Clustering for ranking multivariate data by Linear Ordered Partitions
Clustering for ranking multivariate data by Linear Ordered Partitions Open
This paper illustrates how clustering can be used to rank a multivariate set of observations. The link between ranking and clustering is provided by the Linear Ordered Partitions (LOP) and corresponds to detecting the optimal clustering of…
View article: Structural equation models for simultaneous modeling of air pollutants
Structural equation models for simultaneous modeling of air pollutants Open
This paper provides a new modeling for air pollution, simultaneously taking into account the six main pollutants (PM10 and PM2.5, Sulphate Dioxide, Nitrogen Dioxide, Carbon Monoxide, ground level Ozone concentrations) and their key determi…