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of 153
pro vyhledávání: '"IRPINO, Antonio"'
This paper deals with a clustering algorithm for histogram data based on a Self-Organizing Map (SOM) learning. It combines a dimension reduction by SOM and the clustering of the data in a reduced space. Related to the kind of data, a suitable dissimi
Externí odkaz:
http://arxiv.org/abs/2109.04301
Publikováno v:
In Spatial Statistics October 2023 57
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 one-dimensional probability or frequency distributions on a numeric su
Externí odkaz:
http://arxiv.org/abs/1811.06980
Autor:
Verde, Rosanna, Irpino, Antonio
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. histograms, density functions or quantile functions), one for each vari
Externí odkaz:
http://arxiv.org/abs/1804.07192
Autor:
De Falco, Antonio, Irpino, Antonio
Publikováno v:
Quality & Quantity; Oct2024, Vol. 58 Issue 5, p4569-4602, 34p
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 c-means algorithms for data described by distributional variables is p
Externí odkaz:
http://arxiv.org/abs/1605.00513
Publikováno v:
In Information Sciences March 2021 549:87-115
Autor:
Irpino, Antonio
Some proofs of the problems of the basic statistics proposed for numeric symbolic data.
Externí odkaz:
http://arxiv.org/abs/1312.2248
Autor:
Irpino, Antonio, Verde, Rosanna
In this paper we present a linear regression model for modal symbolic data. The observed variables are histogram variables according to the definition given in the framework of Symbolic Data Analysis and the parameters of the model are estimated usin
Externí odkaz:
http://arxiv.org/abs/1202.1436
Autor:
Irpino, Antonio, Verde, Rosanna
In data mining, it is usually to describe a set of individuals using some summaries (means, standard deviations, histograms, confidence intervals) that generalize individual descriptions into a typology description. In this case, data can be describe
Externí odkaz:
http://arxiv.org/abs/1110.2295