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Table of Contents
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 (Jael Champagne Gareau, Eric Beaudry and Vladimir Makarenkov)
Chapter 4
A generalized coefcient 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 (Jozef Dziechciarz and Marta Dziechciarz-Duda)
Chapter 6
Performance measures in discrete supervised classication (Ana Sousa Ferreira and Anabela Marques)
Chapter 7
Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezoek and Grazyna Trzpiot)
Chapter 8
Measuring and testing mutual dependence for functional data (Tomasz Gorecki, Mirosaw Krzysko and Waldemar Woynski)
Chapter 9
Single imputation via chunk-wise PCA (Alfonso Iodice DEnza, 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 eld of International Relations (Nikos Koutsoupias and Kyriakos Mikelis)
Chapter 14
Quantile measures of extreme risk on metals market (Dominik Krezoek and Grazyna Trzpiot)
Chapter 15
Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot)
Chapter 16
Specication of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee)
Chapter 17
Estimation of Classication Rules from Partially Classied 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 ofcial 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
Classication 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 identication of missing data mechanisms using visualisation (Johane Nienkemper-Swanepoel, Niel 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 (ukasz Smaga)
Chapter 28
Flexible Clustering (Sokoowski Andrzej and Magorzata Markowska)
Chapter 29
Classication 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 Szilagyi 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-Briceno, Alejandra Jimenez-Romero, Alex Murillo-Fernandez, 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).
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 (Jael Champagne Gareau, Eric Beaudry and Vladimir Makarenkov)
Chapter 4
A generalized coefcient 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 (Jozef Dziechciarz and Marta Dziechciarz-Duda)
Chapter 6
Performance measures in discrete supervised classication (Ana Sousa Ferreira and Anabela Marques)
Chapter 7
Using EVT to assess risk on energy market (Alicja Ganczarek-Gamrot, Dominik Krezoek and Grazyna Trzpiot)
Chapter 8
Measuring and testing mutual dependence for functional data (Tomasz Gorecki, Mirosaw Krzysko and Waldemar Woynski)
Chapter 9
Single imputation via chunk-wise PCA (Alfonso Iodice DEnza, 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 eld of International Relations (Nikos Koutsoupias and Kyriakos Mikelis)
Chapter 14
Quantile measures of extreme risk on metals market (Dominik Krezoek and Grazyna Trzpiot)
Chapter 15
Evaluation of Text Clustering Methods and their Dataspace Embeddings: an Exploration (Alain Lelu and Martine Cadot)
Chapter 16
Specication of Basis Spacing for Process Convolution Gaussian Process Models (Waley Liang and Herbert Lee)
Chapter 17
Estimation of Classication Rules from Partially Classied 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 ofcial 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
Classication 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 identication of missing data mechanisms using visualisation (Johane Nienkemper-Swanepoel, Niel 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 (ukasz Smaga)
Chapter 28
Flexible Clustering (Sokoowski Andrzej and Magorzata Markowska)
Chapter 29
Classication 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 Szilagyi 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-Briceno, Alejandra Jimenez-Romero, Alex Murillo-Fernandez, 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).