Presentations and Authors

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Repeated measures analysis for functional data using two-cumulant approximation – with applications
Łukasz Smaga
Segmentation of Online Consumer Behaviour of Polish Youth: a Means-End Approach
Anna Mirosława Myrda
Analysis of Quality of Life among Hemophiliac Patients Using Scores of Medical Outcomes Study
Shinobu Tatsunami, Takahiko Ueno, Kenichiro Makino, Hideyuki Takedani, Takeshi Matsumoto, Akira Shirahata, Masashi Taki
High-dimensional regression mixture models to perform clustering - application to electricity dataset.
Emilie Devijver, Jean-Michel Poggi, Yannig Goude
Coping with poor information for classifiers to support business decision-making. A case study.
Annalisa Stacchini
Unimodal Logistic Discrimination
Joaquim Costa, A. Rita Gaio
Classification Methods in the Research on the Financial Standing of Construction Enterprises after Bankruptcy in Poland
Barbara Pawełek, Jadwiga Kostrzewska, Artur Lipieta, Maciej Kostrzewski, Krzysztof Gałuszka
Quantified SWOT method and its use in assessing the financial situation of local administrative units
Romana Glowicka-Woloszyn, Aleksandra Luczak, Andrzej Woloszyn
Football and the dark side of cluster analysis
Christian Hennig, Serhat Akhanli
Clustering and Classification methods for an experimental study on prion diseases.
One-class classification based on transvariation probability
Francesca Fortunato

Invited Session "Benchmarking in cluster analysis"- I. Van Mechelen

Using principles of optimal treatment regime estimation in simulation studies for benchmarking
Lisa Doove, Iven Van Mechelen, Tom Wilderjans, Antonio Calcagnì
What are the true clusters?
Christian Hennig
Benchmarking a New Bayesian Disease Mapping Cluster Detection Method
Nema Dean, Duncan Lee, Craig Anderson
Benchmarking in cluster analysis: Preview of a white paper
Douglas L. Steinley, Iven Van Mechelen, IFCS Task Force on Benchmarking
A Statistical Framework for Hypothesis Testing in Real Data Benchmark Experiments
Anne-Laure Boulesteix
The IFCS Cluster Benchmark Data Repository
Friedrich Leisch, IFCS Task Force on Benchmarking

Invited Session "New developments in Classification and Regression Trees"- E. Dusseldorp

A framework for measuring the stability of recursive partitioning results
Michel Philipp, Thomas Rusch, Kurt Hornik, Carolin Strobl
Combining model-based recursive partitioning and random-effects estimation for the detection of treatment subgroups
Marjolein Fokkema
Meta-­Cart: Integrating Classification and Regression Trees into Meta-­analysis
Xinru Li, Elise Dusseldorp, Jacqueline Meulman
Estimating the average treatment effect through Balancing Recursive Partitioninng
Claudio Conversano, Massimo Cannas, Francesco Mola

Invited Session "Mixture models in Biology"- S. Ingrassia

A simple approach to bi-clustering discrete data
Marco Alfo', Maria Francesca Marino, Francesca Martella
Model based clustering of summary receiver operating characteristic (sROC) curves for diagnostic meta-analyses
Peter Schlattmann
Modeling mixtures in genomics
Jeanine Houwing-Duistermaat
Mixture model with multiple allocations for clustering spatially correlated gene expression data
Saverio Ranciati, Cinzia Viroli, Ernst Wit

Invited Session "Analysis of multivariate longitudinal data"- P. Giordani

Two-mode K-Spectral Centroid analysis for studying multivariate dynamical processes
Joke Heylen, Iven Van Mechelen, Eiko Fried, Eva Ceulemans
Analysis of Multivariate Longitudinal Data Subject to Nonrandom Dropout
Mai Sherif Hafez, Irini Moustaki, Jouni Kuha
Rotation involving subsets of variables to achieve an insight into structures of within-person variability
Marieke Timmerman, Eva Ceulemans, Henk Kiers
From mixtures of SEMs to mixtures of Double-structure SEMs
Francesca Martella, Marco Alfò, Paolo Giordani

Invited Session "Measuring systemic risk to classify financial institutions"- P. Giudici

Stability Transmission and Risk of Islamic Banking Networks in the MENA Region
Shatha Qamhieh Hashem, Paolo Giudici
Discovering SIFIs in interbank community.
Alessandro Spelta
Estimating Binary Spatial Autoregressive Models for Rare Events
Raffaella Calabrese, Johan A. Elkink

Invited Session "Joint Multivariate Data Reduction"- A. Iodice D'Enza, M. Van de Velden

A simultaneous analysis of dimension reduction and clustering with correlated error variables
Michio Yamamoto
Clustering and Dimensional Reduction for mixed variables
Henk Kiers, Donatella Vicari, Maurizio Vichi
Cluster Correspondence Analysis
Alfonso Iodice D'Enza, Michel van de Velden, Francesco Palumbo

Invited Session "Multi-Dimensional Scaling for Sparse Association Matrices"- T. Imaizumi

The Classification and Visualization of Twitter Trending Topics Considering Time Series Variation
Atsuho Nakayama
Multi-Ddimensional Scaling of Sparse Block Diagonal Similarity Matrix.
Tadashi Imaizumi
A study on the overlapping cluster analysis for the large data
Satoru Yokoyama

Invited Session "What's the best cluster analysis method?"- C. Hennig

Averaging and Asymmetry in Cluster Analysis
Paul McNicholas
Progress and Open Problems in Clustering: Beyond Algorithm Development
Margareta Ackerman
Information-Theoretic Validation of Clustering Algorithms
Joachim M. Buhmann
Disentangling Continuous and Discrete Structure Within Data
Doug Steinley

Invited Session "Cluster Analysis of Asymmetric Relationship"- A. Okada

An Algorithm of Nonhierarchical Asymmetric Cluster Analysis
Akinori Okada, Satoru Yokoyama
Representable Hierarchical Clustering Methods for Asymmetric Networks
Facundo Memoli
Social Differentiation of Cultural Taste and Practice in Contemporary Japan: Nonhierarchical Asymmetric Cluster Analysis
Miki Nakai
Advances in clustering asymmetric proximity data
Donatella Vicari
Seriation benchmarking environment for different permutations and measures of goodness
Innar Liiv

Invited Session "Mixture Models: Recent Developments and Applications for Unsupervised and Supervised Cl."-G. McLachlan

The joint role of trimming and constraints in robust estimation for mixtures of skew normal
Francesca Greselin, Agustin Mayo-Iscar, Luis-Angel Garcia-Escudero
Using mixture models with random effects to test the differences between classes for supervised classification
Shu-Kay (Angus) Ng
On the choice of the number of groups in the context of model-based clustering
Laura Anderlucci, Geoff McLachlan

Invited Session "New trends and applications of alternating least squares in data analysis"- Y. Mori, K. Adachi

On acceleration methods for Alternating Least Squares algorithm
Michio Sakakihara, Msahiro Kuroda, Yuichi Mori, Msaya IIzuka
Canonical correlation analysis for three-mode three-way data
Jun Tsuchida, Hiroshi Yadohisa
A general method for fuzzy partitioning and component analysis
Maria Brigida Ferraro, Paolo Giordani, Maurizio Vichi
The multivariate power method: a fast iterative algorithm for repeated dimension reduction
Alfonso Iodice D'Enza, Michel van de Velden, Patrick J.F. Groenen

Invited Session "Multivariate Visualisation and Discrimination" - S. Lubbe

Feature selection and kernel specification for support vector machines using multi-objective genetic algorithms
Martin Philip Kidd, Martin Kidd, Surette Bierman
Small sample multi-label discriminant analysis
Nelmarie Louw
Biplot-based visualizations in latent class modelling
Zsuzsa Bakk, Niel Le Roux, Jeroen Vermunt
Measures of fit for nonlinear biplots
Karen Vines

Invited Session "Data Streams Clustering and Classification" - R. Verde

Fuzzy clustering of distribution-valued data usingan adaptive L2 Wasserstein distance
Antonio Irpino, Francisco De Assis Tenhorio De Carvalho, Rosanna Verde
Functional data analysis for optimizing strategies of cash flow management
Francesca Di Salvo, Marcello Chiodi, Pietro Patricola, Fabrizio Mineo, Claudio Lo Piccolo
A new spatial prediction method for georeferenced data streams
Antonio Balzanella, Antonio Irpino, Rosanna Verde

Invited IASC Session "Bilinear models and regularization"- P. Groenen

Multinomial correspondence analysis
Patrick J.F. Groenen, Julie Josse
Regularized Generalized Canonical Correlation analysis for Multiway data.
Arthur Tenenhaus, Laurent Le Brusquet
Three-way data analysis with clustered bilinear models
Pieter Schoonees
Generalized Additive Models (GAMs) via Bayesian P-splines using INLA
Cajo ter Braak, María Xosé Rodríguez-Álvarez, Martin Boer, Paul Eilers, Havard Rue

Invited Session "Classification Models for Forecasting of Economic Processes" - J. Pociecha

Application of Extreme Value Theory in the measurement of household investment risk
Krzysztof Jajuga
Comparison of Classification Accuracy for Corporate Bankruptcy Prediction Models Including Changes in Economic Environment
Mateusz Baryla, Barbara Pawelek, Jozef Pociecha
Student Value Systems
Andreas Geyer-Schulz, Thomas Hummel, Claire Roederer, Victoria-Anne Schweigert
Application of ordered multinomial logit model to identification of determinants of LAU2’s financial condition
Andrzej Pawel Woloszyn, Romana Glowicka-Woloszyn, Feliks Wysocki

Invited Session "Density-based clustering" - G. Galimberti

Density-based clustering multiplex networks
Giovanna Menardi, Domenico De Stefano
Clustering via Mixture Models with Flexible Components
Geoff McLachlan, Sharon Lee
Modal Clustering and cluster inference
Surajit Ray

Invited Session "Accuracy and validation in clustering and scaling models" - J. F. Vera

Prediction error in distance-based generalized linear models
Eva Boj del Val, Teresa Costa Cor, Josep Fortiana Gregori
Cluster Analysis and Distance Stability in Multidimensional Scaling
José Fernando Vera
An integrated formulation for merging mixture components based on posterior probabilities
Marc Comas-Cufí, Josep Antoni Martín Fernández, Glòria Mateu Figueras
Prediction Accuracy in Logistic Biplots for categorical data.
Jose Luis Vicente-Villardon, Julio Cesar Hernandez-Sanchez
Stability analyses in human exposure to background air pollution in urban environments
Álvaro Gómez-Losada, José F. Vera-Vera
An extension of the Adjusted Rand Index for fuzzy partitions
Sonia Amodio, Antonio D'Ambrosio, Carmela Iorio, Roberta Siciliano

Invited Session "Statistical models for ordinal data" - S. Cagnone

Partial Possibilistic Regression Path Modeling
Rosaria Romano
Dealing with Large Heterogeneity in Sample Surveys
Stefania Capecchi, Domenico Piccolo
A finite mixture IRT model for ordinal responses with nonignorable missingness
Silvia Bacci, Francesco Bartolucci, Leonardo Grilli, Carla Rampichini

Invited Session "Data science in Biomedical Research" - B. Lausen

AUC-based splitting criteria for random survival forests
Matthias Schmid, Marvin Wright, Andreas Ziegler
Ensembles of selected classifiers applied to genomic data
Berthold Lausen, Asma Gul, Zardad Khan, Osama Mahmoud
Exhaustive biomarker selection techniques
Hans A. Kestler

Contributed Session - "Clustering Agreement"

On comparing partitions
Marjan Cugmas, Anuška Ferligoj
Correction for chance and correction for maximum value
Matthijs J Warrens
Set valued prototypes through the consensus analysis
Mario Fordellone, Francesco Palumbo
Determining the number of clusters from decompositions of a Rand index-based measure of partitioning stability
Patrice Bertrand, Lassad El Moubarki, Ghazi Bel Mufti

Contributed Session - "Advances in k-means clustering"

A Note on Spherical k-Means++ Clustering
Yasunori Endo
T-sharper images and T-level cuts of fuzzy partitions
Slavka Bodjanova
Minkowski weighted k-means clustering with a median-based consensus rule
Renato Cordeiro de Amorim, Vladimir Makarenkov
Clustering based on adaptive Mahalanobis kernels
Marcelo Ferreira, Francisco de Carvalho

Contributed Session - "Clustering Methods and Data Fusion"

A Self-tuning Region-Growing Algorithm for Deriving Upwelling Areas on Sea Surface Temperature Images
Susana Nascimento, Boris Mirkin, Sérgio Casca
A pairwise likelihood approach to simultaneous clustering and dimensional reduction of ordinal data
Monia Ranalli, Roberto Rocci
Fuzzy bi-clustering, with application to open-ended questionnaires
François Bavaud, Pascale Deneulin, Laurent Gautier, Yves Le Fur
Marked Point Processes for MicroArray Data Clustering
Khadidja Henni, Olivier Alata, Abdellatif El Idrissi, Brigitte Vannier, Lynda Zaoui, Ahmed Moussa
Some Statistical paradigm to approach data fusion and high-level information fusion in the Big Data era
Maurizio Salusti

Contributed Session - "Cluster Validation"

DESPOTA: a permutation test algoritm to detect a partition from a dendrogram
Dario Bruzzese, Domenico Vistocco
Benchmarking cluster algorithms for ordinal survey data
Dominik Ernst, Friedrich Leisch
On a Comprehensive Metadata Framework for Artificial Cluster Data Generation
Rainer Dangl, Friedrich Leisch

Contributed Session - "Questionnaire based surveys"

Accounting for attribute non-attendance in subset-conjunctive choice models
Michel Meulders
A Random Matrix Theory study of Covariance Matrices of Continuous and Categorical Variables
Graziano Vernizzi, Miki Nakai
IRT-based conjoint analysis in the optimization of banking products
Justyna Brzezińska-Grabowska, Aneta Rybicka, Adam Sagan
An adaptive item selection method for curtailment
Niels Smits

Contributed Session - "Dissimilarity and distance measures"

Novel similarity measures for categorical data based on mutability and entropy
Zdenek Sulc, Hana Rezankova
Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
Distance measures based on the probabilistic information of the data with applications in classification problems
Gabriel Martos Venturini
Tree-Robinsonian Dissimilarities
Pascal Préa, François Brucker
Application of spatial median of Weber and positional formulation of TOPSIS method to the assessment of financial condition of local government units
Agnieszka Bernadetta Kozera, Aleksandra Łuczak, Feliks Wysocki

Contributed Session - "Methods for the analysis of large data sets"

Robust regularized discriminant analysis based on implicit weighting
Jan Kalina
Revisit on Big Data Analysis Framework - How to Make Proper 'Mini data'? -
Hiroyuki Minami, Masahiro Mizuta
Large covariance matrix estimation by composite minimization
Matteo Farnè
A computationally fast variable importance test for random forests for high-dimensional data
Silke Janitza, Anne-Laure Boulesteix

Contributed Session - "Missing Data"

Missing data imputation by Multitree
Agostino Di Ciaccio
Missing Data Imputation and Its Effect on the Accuracy of Classification
Lynette Hunt
Handling missing data in observational clinical studies concerning cardiovascular risk: an evaluation of alternative approaches
Nadia Solaro, Daniela Lucini, Massimo Pagani

Contributed Session - "Bayesian Clustering"

Optimizing Mailing Decisions Based on a Mixture of Dirichlet Processes
Nadine Schröder, Harald Hruschka
Dirichlet process Bayesian clustering: an application to survival data
Silvia Liverani
Bayes Clustering Operators for Random Labeled Point Processes
Lori Dalton
Bayesian clustering: a novel nonparametric framework for borrowing strength across populations
Antonio Lijoi, bernardo nipoti, Igor Pruenster

Contributed Session - "Network Analysis"

Two-stage agglomerative hierarchical clustering using medoids for network clustering
Sadaaki Miyamoto
Network Tools and Homophily Measures for Brand Image Analysis
Agnieszka Stawinoga, Simona Balbi, Germana Scepi
Towards a new approach of community detection in complex networks using leaders nodes
Clustering of links in networks
Jernej Bodlaj, Vladimir Batagelj
Predicting the evolution of a constrained network: a beta regression model
Luisa Stracqualursi, Patrizia Agati

Contributed Session - "Supervised Learning I"

Clinical Decision Support System for HCC using Classification Models
Taerim Lee
Credibility Classification with Missing Data
Toby Kenney
Machine learning diagnoses on patients presenting abdominal pain
Hong Gu
Machine-learning classification methods with the ability to hesitate
Michal Trzesiok
Improving Predictions for Tree Ensembles using Distributions of Estimated Probabilities with Applications in Record Linkage
Samuel L. Ventura, Rebecca Nugent

Contributed Session - "Supervised Learning II"

Real-time classification of in-flight aircraft damage
Brenton S. Blair, Herbert K. H. Lee
The $\delta$-machine
Mark De Rooij
K-NN controlled condensation: a new method for data preprocessing in classification tasks
Carmen Villar-Patiño, Carlos Cuevas-Covarrubias
The Five Factor Model of personality and evaluation of drug consumption risk
Elaine Fehrman, Awaz K Muhammad, Evgeny Mirkes, Vincent Egan, Alexander N Gorban

Contributed Session - "Functional Data I"

Generalization, Combination and Extension of Functional Clustering Algorithms
Christina Yassouridis, Friedrich Leisch
Correlation analysis for multivariate functional data
Tomasz Górecki, Waldemar Wolynski
Covariance based classification in multivariate and functional data analysis
Francesca Ieva, Anna Maria Paganoni, Nicholas Tarabelloni

Contributed Session - "Functional Data II"

Statistical data depth for clustering macroseismic fields
Claudio Agostinelli, Renata Rotondi, Elisa Varini
Functional Data Analysis for the investigation of longitudinal response patterns in health care
Sugnet Lubbe, Felix Dube, Mark Nicol, Heather Zar
Robust model-based functional clustering of satellite data
Carlo Gaetan, Paolo Girardi, Roberto Pastres
Clustering word life-cycles in chronological corpora: what data transformation for differing clustering goals
Matilde Trevisani, Arjuna Tuzzi

Contributed Session - "Applied Classification and Clustering"

Using taxonomies and aggregate rankings for measuring research impact.
Boris G. Mirkin, Mikhail A. Orlov
Music classification from the user side
Nicolas Greffard, Pascale Kuntz
Transportation clustering
Guillaume Guex, Théophile Emmanouilidis, François Bavaud
Cause Related Marketing: a qualitative and quantitative Analysis on Pinkwashing
Gabriella Schoier, Patrizia De luca
Unsupervised classification of perfusion imaging data using multiple equivalence tests
Fuchen Liu, Yves Rozenholc, Charles-andré Cuénod

Contributed Session - "Multiple Correspondence Analysis"

A method for recoding ordinal variables.
Odysseas Moschidis, Theodore Chadjipadelis
Biplot-based visualisations to explore relationships between pneumonia and nasopharyngeal pathogens
Johané Nienkemper-Swanepoel, Sugnet Lubbe, Niël le Roux, Emilee Smith, Heather Zar, Mark Nicol
A principal component method to analyze frequency tables connected by contextual variables
Belchin Kostov, Mónica Bécue-Bertaut, François Husson
Correspondence Analysis in Identification of Structure of Performance Measurement Systems of Polish Firms
Barbara Batóg, Jacek Batóg, Wanda Skoczylas, Andrzej Niemiec, Piotr Waśniewski
Big Data Scaling through Metric Mapping: Correspondence Analysis in Very High Dimensional Spaces
Fionn Murtagh

Contributed Session - "Symbolic Data"

Interval-valued logistic regression ensemble vs noisy variables and outliers
Marcin Pelka, Aneta Rybicka, Justyna Brzezinska-Grabowska
Regime change analysis of interval-valued time series with an application to PM10
Carmela Cappelli, Pierpaolo D'Urso, Francesca Di Iorio
Detection of singularities in distribution valued data
Masahiro Mizuta, Hiroyuki Minami
Two-sample test with distributional data and detection of differential DNA methylation
Yusuke Matsui, Teppei Shimamura

Contributed Session - "Methods for DNA data"

Haplotype estimation, Haplotype Block Identification and statistical analysis for DNA data
Makoto Tomita
Bootstrap test of ordered RIG for multiple testing in genomics of Quantitative Trait Loci in yeasts
Evgeny Mirkes, Thomas Walsh, Edward J Louis, Alexander N Gorban
Tissue-aware age prediction from DNA methylation data
Marcelo Ferreira, Ivan Costa
Discovering modulators of gene regulation by local energy statistics
Teppei Shimamura, Yusuke Matsui
An efficient implementation of adjacency-constrained hierarchical clustering of a band similarity matrix
Alia Dehman, Guillem Rigaill, Pierre Neuvial, Christophe Ambroise

Contributed Session - "Regression Models"

Dual model selection for principal covariates regression
Marlies Vervloet, Katrijn Van Deun, Wim Van den Noortgate, Eva Ceulemans
SparseStep: Approximating the Counting Norm for Sparse Regularization
Gertjan van den Burg, Patrick Groenen
On Associative Confounder Bias
Priyantha Wijayatunga
Unit level small area model with covariates perturbed for disclosure limitation.
Serena Arima
Sparse Principal Covariates Regression for high-dimensional data
Katrijn Van Deun, Eva Ceulemans

Contributed Session - "Change-point Detection"

Comparing the performance of non-parametric change point detection methods for capturing response concordance.
Jedelyn Cabrieto, Francis Tuerlinckx, Eva Ceulemans
Analysis of Influence Scores for Detecting a Change Point
Kuniyoshi Hayashi, Koji Kurihara
Time Series Rolling-Window Cluster Analysis on geological data
Carlo Drago, Fabio Matano, Germana Scepi

Contributed Session - "Longitudinal Data"

Assessing changes through time of the parameters of common factor models
Henk Kelderman, Rajan Felisco
Power Analysis for the Likelihood Ratio Test in Latent Markov Models: Short-cutting the bootstrap p-value based method
Dereje W. Gudicha, Verena D. Schmittmann, Fetene B. Tekle, Jeroen K. Vermunt
Clusterwise three-way component models to account for heterogeneity in three-way data
Tom F Wilderjans, Eva Ceulemans
Financial technical analysis using hidden Markov models
José G. Dias

Contributed Session - "Longitudinal and Spatial Data"

Space-time clustering for radiation monitoring post data based on hierarchical structure
Fumio Ishioka, Koji Kurihara
Latent class modeling of markers of day-specific fertility
Francesca Bassi, Bruno Scarpa
Attitudes to maternity in Poland - a longitudinal analysis based on latent Markov models with covariates
Ewa Genge, Joanna Trzesiok
Regional Spatial Moving Average and new Spatial Correlation Coefficient
Andrzej Sokolowski, Malgorzata Markowska, Marek Sobolewski, Danuta Strahl, Sabina Denkowska

Contributed Session - "Mixture Models"

Mixture simultaneous factor analysis for modeling structural differences in multivariate multilevel data
Kim De Roover, Jeroen K. Vermunt, Marieke E. Timmerman, Eva Ceulemans
A multiple clusterings model based on Gaussian mixture
Andrea Pastore, Stefano F. Tonellato
Partially Supervised Biclustering of Gene Expression Data with Applications in Nutrigenomics Biomarker Discovery
Monica Hiu Tung Wong
Criteria for model selection in model-based clustering
Fumitake Sakaori

Contributed Session - "Non-gaussian Mixture Models and Model Selection"

Parsimonious multiple scaled mixtures
Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
Mixtures of Hidden Truncation Hyperbolic Distributions
Ryan Browne
Mixtures of Coalesced Generalized Hyperbolic Distributions
Cristina Tortora

Keynote talk "Removing Unwanted Variation for classification and clustering" - T. Speed

Removing Unwanted Variation for classification and clustering
Terry Speed, Johann Gagnon-Bartsch, Laurent Jacob

Keynote talk "Focused graphical model estimation" - G. Claeskens

Focused graphical model estimation
Gerda Claeskens, Eugen Pircalabelu, Sara Jahfari, Lourens Waldorp

Keynote talk "Modern multivariate data analysis through monitoring" - Marco Riani

Modern multivariate data analysis through monitoring
Marco Riani

Keynote talk "Generalized Additive Models — 25 years" - T. Hastie and R. Tibshirani

GAM selection via convex optimization
Trevor Hastie, Alexandra Chouldechova
Generalized additive models: a retrospective
Robert Tibshirani

Presidential Address "Hierarchical Disjoint Non-negative Factor Analysis" - M. Vichi

Hierarchical Disjoint Non-negative Factor Analysis
Maurizio Vichi

IFCS Conference 2015 Bologna - Conference of the International Federation of Classification Societies