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pierpaolo.durso@uniroma1.it
Pierpaolo D'Urso
Professore Ordinario
Struttura:
DIPARTIMENTO DI SCIENZE SOCIALI ED ECONOMICHE
E-mail:
pierpaolo.durso@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Trimmed fuzzy clustering of financial time series based on dynamic time warping
ANNALS OF OPERATIONS RESEARCH
2019
Smoothed self-organizing map for robust clustering
INFORMATION SCIENCES
2019
Fuzzy clustering of mixed data
INFORMATION SCIENCES
2019
Cross Sectional and Longitudinal Fuzzy Clustering of the NUTS and Positioning of the Italian Regions with Respect to the Regional Competitiveness Index (RCI) Indicators with Contiguity Constraints
SOCIAL INDICATORS RESEARCH
2019
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging
FUZZY SETS AND SYSTEMS
2019
Fuzzy clustering with spatial–temporal information
SPATIAL STATISTICS
2019
Visualizing regional clusters of Sardinia's EU supported agriculture: A Spatial Fuzzy Partitioning Around Medoids
LAND USE POLICY
2019
Time series clustering and classification
2019
22 Fuzzy Clustering in Travel and Tourism Analytics
Business and Consumer Analytics: New Ideas
2019
Robust fuzzy clustering of multivariate time trajectories
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
2018
Analysing cluster evolution using repeated cross-sectional ordinal data
TOURISM MANAGEMENT
2018
Robust fuzzy clustering based on quantile autocovariances
STATISTICAL PAPERS
2018
Unsupervised Learning
ADVANCED MATERIALS TECHNOLOGIES
2018
Exponential distance-based fuzzy clustering for interval-valued data
FUZZY OPTIMIZATION AND DECISION MAKING
2017
Autoregressive metric-based trimmed fuzzy clustering with an application to PM10 time series
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
2017
Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review
INFORMATION SCIENCES
2017
Exploratory multivariate analysis for empirical information affected by uncertainty and modeled in a fuzzy manner: a review
GRANULAR COMPUTING
2017
Fuzzy clustering of time series using extremes
FUZZY SETS AND SYSTEMS
2017
Quantile autocovariances: a powerful tool for hard and soft partitional clustering of time series
FUZZY SETS AND SYSTEMS
2017
Statistica: principi e metodi
Statistica: principi e metodi
2017
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Progetti di Ricerca
Fuzzy Clustering: From Theory to Practice
Robust fuzzy clustering of spatial time series with social economic applications.
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