Fuzzy clustering of time series based on weighted conditional higher moments

Spatial robust fuzzy clustering of COVID 19 time series based on B-splines

(2021) Pierpaolo D’Urso et al.   Spatial Statistics

Model-based fuzzy time series clustering of conditional higher moments

(2021) Roy Cerqueti et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series

(2021) Raffaele Mattera et al.   Symmetry-Basel

On the classification of financial data with domain agnostic features

(2021) João A. Bastos et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Modeling time‐varying higher‐order conditional moments: A survey

(2021) Sylvia J. Soltyk et al.   JOURNAL OF ECONOMIC SURVEYS

Cepstral-based clustering of financial time series

(2020) Pierpaolo D’Urso et al.   EXPERT SYSTEMS WITH APPLICATIONS

A fragmented-periodogram approach for clustering big data time series

(2019) Jorge Caiado et al.   Advances in Data Analysis and Classification

Fuzzy clustering of mixed data

(2019) Pierpaolo D’Urso et al.   INFORMATION SCIENCES

Parsimonious time series clustering using P-splines

(2016) Carmela Iorio et al.   EXPERT SYSTEMS WITH APPLICATIONS

GARCH-based robust clustering of time series

(2016) Pierpaolo D'Urso et al.   FUZZY SETS AND SYSTEMS

Clustering of time series using quantile autocovariances

(2015) Borja Lafuente-Rego et al.   Advances in Data Analysis and Classification

Wavelet-based Fuzzy Clustering of Time Series

(2010) Elizabeth Ann Maharaj et al.   JOURNAL OF CLASSIFICATION

Identifying common dynamic features in stock returns

(2010) Jorge Caiado et al.   QUANTITATIVE FINANCE

Portfolio selection with higher moments

(2010) Campbell R. Harvey et al.   QUANTITATIVE FINANCE

Autocorrelation-based fuzzy clustering of time series

(2009) Pierpaolo D’Urso et al.   FUZZY SETS AND SYSTEMS

Clustering heteroskedastic time series by model-based procedures

(2008) Edoardo Otranto   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Clustering of biological time series by cepstral coefficients based distances

(2008) Alexios Savvides et al.   PATTERN RECOGNITION