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Your search keyword '"Ferraro, MARIA BRIGIDA"' showing total 146 results
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146 results on '"Ferraro, MARIA BRIGIDA"'

3. Fuzzy Clustering Implementations for Big Data in R

Author

Di Perna, Vincenzo, Ferraro, Maria Brigida, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Ansari, Jonathan, editor, Fuchs, Sebastian, editor, Trutschnig, Wolfgang, editor, Lubiano, María Asunción, editor, Gil, María Ángeles, editor, Grzegorzewski, Przemyslaw, editor, and Hryniewicz, Olgierd, editor

Published
2024
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7. On Clustering of Star-Shaped Sets with a Fuzzy Approach: An Application to the Clasts in the Cantabrian Coast

Author

Ferraro, Maria Brigida, Fernández Iglesias, Elena, Ramos-Guajardo, Ana Belén, González-Rodríguez, Gil, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, García-Escudero, Luis A., editor, Gordaliza, Alfonso, editor, Mayo, Agustín, editor, Lubiano Gomez, María Asunción, editor, Gil, Maria Angeles, editor, Grzegorzewski, Przemyslaw, editor, and Hryniewicz, Olgierd, editor

Published
2023
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8. Cluster Validity Measures for Fuzzy Two-Mode Clustering

Author

Ferraro, Maria Brigida, Giordani, Paolo, Vichi, Maurizio, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, García-Escudero, Luis A., editor, Gordaliza, Alfonso, editor, Mayo, Agustín, editor, Lubiano Gomez, María Asunción, editor, Gil, Maria Angeles, editor, Grzegorzewski, Przemyslaw, editor, and Hryniewicz, Olgierd, editor

Published
2023
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11. Model-Based Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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13. Fuzzy Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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14. Non-Hierarchical Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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15. Big Data and Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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16. Hierarchical Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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20. Introduction to Clustering

Author

Giordani, Paolo, Ferraro, Maria Brigida, Martella, Francesca, Okada, Akinori, Series Editor, Giordani, Paolo, Ferraro, Maria Brigida, and Martella, Francesca

Published
2020
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22. Robust Fuzzy Relational Clustering of Non-linear Data

Author

Ferraro, Maria Brigida, Giordani, Paolo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Destercke, Sébastien, editor, Denoeux, Thierry, editor, Gil, María Ángeles, editor, Grzegorzewski, Przemyslaw, editor, and Hryniewicz, Olgierd, editor

Published
2019
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24. On Some Concepts Related to Star-Shaped Sets

Author

Ramos-Guajardo, Ana Belén, González-Rodríguez, Gil, Colubi, Ana, Ferraro, Maria Brigida, Blanco-Fernández, Ángela, Kacprzyk, Janusz, Series Editor, Gil, Eduardo, editor, Gil, Eva, editor, Gil, Juan, editor, and Gil, María Ángeles, editor

Published
2018
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34. A Fuzzy clustering approach for textual data

Author

Cozzolino, Irene, Ferraro, MARIA BRIGIDA, and Peter, Winker

Subjects
document clustering, fuzzy approach, Kernel-based clustering, string kernels, fuzzy approach, Kernel-based clustering
Published
2021

35. Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS)

Author

Destercke, Sébastien, Ferraro, Maria Brigida, Sinova, B., Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], and University of Oviedo

Subjects
[INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract

International audience

Published
2020
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36. Fuzzy clustering in a reduced subspace

Author

Giordani, Paolo, Ferraro, MARIA BRIGIDA, Fordellone, Mario, and Vichi, Maurizio

Subjects
Subspace clustering, Factorial K-Means, Reduced K-Means, Linear convex combination, Fuzzy approach to clustering
Published
2019

40. Il procedimento cautelare in Italia

Author

Deriu, Fiorenza, Ferraro, Maria Brigida, Grasso, Fabio, and Gubbiotti, Stefania

Subjects
procedimenti cautelari, questionario informatizzato, analisi statistiche
Published
2017

41. Preface : Soft Methods for Data Science

Author

Ferraro, MARIA BRIGIDA, Giordani, Paolo, Vantaggi, Barbara, Marek, Gagolewski, María Ángeles Gil, Przemysław, Grzegorzewski, and Olgierd, Hryniewicz

Published
2017

42. Preface

Author

Ferraro, Maria Brigida, Giordani, Paolo, Vantaggi, B., Gagolewski, M., Gil Álvarez, María Ángeles, Grzegorzewski, P., and Hryniewicz, O.

Abstract

8th International Conference on Soft Methods in Probability and Statistics—SMPS (8th. 2016. Roma)

Published
2017

45. Soft clustering.

Author

Ferraro, Maria Brigida and Giordani, Paolo

Subjects
*MULTIVARIATE analysis, *SCIENTIFIC community, *STATISTICAL learning, *DATA science, *GRAPHICAL modeling (Statistics), *DATA analysis, *FUZZY clustering technique
Abstract

Clustering is one of the most used tools in data analysis. In the last decades, due to the increasing complexity of data, soft clustering has received a great deal of attention. There exist different approaches that can be considered as soft. The most known is the fuzzy approach that consists in assigning objects to clusters with membership degrees, depending on the dissimilarities between each object and all the prototypes, ranging in the unit interval. Closely related to the fuzzy approach, there is the possibilistic one that, differently from the previous one, relaxes some constraints on the membership degrees. In particular, the objects are assigned to clusters with degrees of typicalities, depending just on the dissimilarities between each object and the closest prototype. A further soft approach is the rough one. In this case, there are not degrees ranging between 0 and 1 but objects with intermediate features belong to the boundary region and are assigned to more than one cluster. Even if it is not universally recognized in the scientific community as an approach of soft clustering, from our point of view, the model‐based approach can also be considered as such. Model‐based clustering methods also produce a soft partition of the objects and the posterior probability of a component membership may play a role similar to the membership degree. The four approaches are critically described from a theoretical point of view and an empirical comparative analysis is carried out. This article is categorized under: Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification Statistical and Graphical Methods of Data Analysis > Multivariate Analysis Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis [ABSTRACT FROM AUTHOR]

Published
2020
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47. Agglomerative Fuzzy Clustering

Author

Borgelt, Christian, Kruse, Rudolf, Kacprzyk, Janusz, Series editor, Ferraro, Maria Brigida, editor, Giordani, Paolo, editor, Vantaggi, Barbara, editor, Gagolewski, Marek, editor, Ángeles Gil, María, editor, Grzegorzewski, Przemysław, editor, and Hryniewicz, Olgierd, editor

Published
2017
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49. Asymptotics of Predictive Distributions

Author

Berti, Patrizia, Pratelli, Luca, Rigo, Pietro, Kacprzyk, Janusz, Series editor, Ferraro, Maria Brigida, editor, Giordani, Paolo, editor, Vantaggi, Barbara, editor, Gagolewski, Marek, editor, Ángeles Gil, María, editor, Grzegorzewski, Przemysław, editor, and Hryniewicz, Olgierd, editor

Published
2017
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