3 papers
stat.OT2018
Batch Self Organizing maps for distributional data using adaptive distances
Antonio Irpino, Francisco De Carvalho, Rosanna Verde +1
The paper deals with a Batch Self Organizing Map algorithm (DBSOM) for data described by distributional-valued variables. This kind of variables is characterized to take as values…
stat.ME2018
Multiple factor analysis of distributional data
Rosanna Verde, Antonio Irpino
In the framework of Symbolic Data Analysis (SDA), distribution-variables are a particular case of multi-valued variables: each unit is represented by a set of distributions (e.g. h…
stat.ML2016
Fuzzy clustering of distribution-valued data using adaptive L2 Wasserstein distances
Antonio Irpino, Francisco De Carvalho, Rosanna Verde
Distributional (or distribution-valued) data are a new type of data arising from several sources and are considered as realizations of distributional variables. A new set of fuzzy…