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This book focuses on methods and models in classification and data
analysis and presents real-world applications at the interface with
data science. Numerous topics are covered, ranging from statistical
inference and modelling to clustering and factorial methods, and
from directional data analysis to time series analysis and small
area estimation. The applications deal with new developments in a
variety of fields, including medicine, finance, engineering,
marketing, and cyber risk. The contents comprise selected and
peer-reviewed contributions presented at the 13th Scientific
Meeting of the Classification and Data Analysis Group of the
Italian Statistical Society, CLADAG 2021, held (online) in
Florence, Italy, on September 9–11, 2021. CLADAG promotes
advanced methodological research in multivariate statistics with a
special focus on data analysis and classification, and supports the
exchange and dissemination of ideas, methodological concepts,
numerical methods, algorithms, and computational and applied
results at the interface between classification and data science.
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