Chapter 1 - PerioClust: a simple hierarchical agglomerative clustering approach including constraints (Lise Bellanger, Arthur Coulon and Philippe Husi) -- Chapter 2 - What was really the case? Party competition in Europe at the occasion of the 2019 European Parliament Elections (Theodore Chadjipadelis and Eftichia Teperoglou) -- Chapter 3 - A Fast Electric Vehicle Planner Using Clustering (Jaël Champagne Gareau, Éric Beaudry and Vladimir Makarenkov) -- Chapter 4 - A generalized coefficient of determination for mixtures of regressions (Roberto Di Mari, Salvatore Ingrassia and Antonio Punzo) -- Chapter 5 - Distance measurement when fuzzy numbers are used. Survey of selected problems and procedures (Józef Dziechciarz and Marta Dziechciarz-Duda) -- Chapter 6 - Performance measures in discrete supervised classification (Ana Sousa Ferreira and Anabela Marques) -- Chapter 7 - Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezołek and Grazyna Trzpiot) -- Chapter 8 - Measuring and testing mutual dependence for functional data (Tomasz Górecki, Mirosław Krzysko and Waldemar Wołynski) -- Chapter 9 - Single imputation via chunk-wise PCA (Alfonso Iodice D'Enza, Francesco Palumbo and Angelos Markos) -- Chapter 10 - Clustering Mixed-Type Data: a benchmark study on KAMILA and K-prototypes (Jarrett Jimeno, Madhumita Roy and Cristina Tortora) -- Chapter 11 - Exploring social attitudes towards the green infrastructure plan of the Drama city in Greece (Vassiliki Kazana, Angelos Kazaklis, Dimitrios Raptis, Efthimia Chrisanthidou, Stella Kazakli and Nefeli Zagourgini) -- Chapter 12 - Spatial perception for structured and unstructured data in topological data analysis (Yoshitake Kitanishi, Fumio Ishioka, Masaya Iizuka, and Koji Kurihara) -- Chapter 13 - Text, Content and Data Analysis of Journal Articles: the field of International Relations (Nikos Koutsoupias and Kyriakos Mikelis) -- Chapter 14 - Quantile measures of extreme risk on metals market (Dominik Krezołek and Grazyna Trzpiot) -- Chapter 15 - Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot) -- Chapter 16 - Specification of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee) -- Chapter 17 - Estimation of Classification Rules from Partially Classified Data (Geoffrey McLachlan and Daniel Ahfock) -- Chapter 18 - Correspondence Analysis and Kriging: Projection of quantitative information on the factorial maps (George Menexes and Thomas Koutsos) -- Chapter 19 - Intertemporal exploratory analysis of e-commerce from Greek households from official statistics data (Stratos Moschidis and Athanasios Thanopoulos) -- Chapter 20 - Benchmarking in cluster analysis: a study on Spectral Clustering, DBSCAN, and K-means (Nivedha Murugesan, Irene Cho, and Cristina Tortora) -- Chapter 21 - Detection of Topics and Time Series Variation in Consumer Web Communication Data (Atsuho Nakayama) -- Chapter 22 - Classification through graphical models: Evidences from the EU-SILC data (Federica Nicolussi, Agnese Maria Di Brisco and Manuela Cazzaro) -- Chapter 23 - A simulation study for the identification of missing data mechanisms using visualisation (Johané Nienkemper-Swanepoel, Niël le Roux and Sugnet Gardner-Lubbe) -- Chapter 24 - Triplet Clustering of One-Mode Two-Way Proximities (Akinori Okada and Satoru Yokoyama) -- Chapter 25 - First-time Voters in Greece: Views and Attitudes of Youth on Europe and Democracy (Georgia Panagiotidou and Theodore Chadjipadelis) -- Chapter 26 - Comparison of hierarchical clustering methods for binary data from SSR and ISSR molecular markers (Emmanouil Pratsinakis, Lefkothea Karapetsi, Symela Ntoanidou, Angelos Markos, Panagiotis Madesis, Ilias Eleftherohorinos and George Menexes) -- Chapter 27 - One-way repeated measures ANOVA for functional data (Łukasz Smaga) -- Chapter 28 - Flexible Clustering (Sokołowski Andrzej and Małgorzata Markowska) -- Chapter 29 - Classification of entrepreneurial regimes: a symbolic polygonal clustering approach (Andrej Srakar and Marilena Vecco) -- Chapter 30 - Multidimensional factor and cluster analysis vs embedding-based learning for personalised supermarket offer recommendations (George Stalidis, Theodosios Siomos, Pantelis Kaplanoglou, Alkiviadis Katsalis, Iphigenia Karaveli, Marina Delianidi, and Konstantinos Diamantaras) -- Chapter 31 - Motivation for Participating in the Sharing Economy: The Case of Hungary (Roland Szilágyi and Levente Lengyel) -- Chapter 32 - Benchmarking Minimax Linkage in Hierarchical Clustering (Xiao Hui Tai and Kayla Frisoli) -- Chapter 33 - Clustering Binary Data by Application of Combinatorial Optimization Heuristics (Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio and Mario Villalobos-Arias) -- Chapter 34 - Classifying Users through Keystroke Dynamics (Ioannis Tsimperidis, Georgios Peikos and Avi Arampatzis) -- Chapter 35 - Technological innovation and the critical raw material stock (Beatrix Varga and Kitti Fodor) -- Chapter 36 - Redundancy analysis for binary data based on logistic responses (Jose L. Vicente-Villardon and Laura Vicente-Gonzalez) -- Chapter 37 - Predictive power of school motivation clusters in secondary education (Matthijs J. Warrens and W. Miro Ebert).