Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization: Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019

Front Matter ....Pages i-xii
Front Matter ....Pages 1-1
 Look and Feel What and How Recurrent Self-Organizing Maps Learn  (Jérémy Fix, Hervé Frezza-Buet)....Pages 3-12
 Self-Organizing Mappings on the Flag Manifold  (Xiaofeng Ma, Michael Kirby, Chris Peterson)....Pages 13-22
 Self-Organizing Maps with Convolutional Layers  (Lars Elend, Oliver Kramer)....Pages 23-32
 Cellular Self-Organising Maps - CSOM  (Bernard Girau, Andres Upegui)....Pages 33-43
 A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering  (Josh Taylor, Erzsébet Merényi)....Pages 44-54
Front Matter ....Pages 55-55
 SOM-Based Anomaly Detection and Localization for Space Subsystems  (Maia Rosengarten, Sowmya Ramachandran)....Pages 57-69
 Self-Organizing Maps in Earth Observation Data Cubes Analysis  (Lorena Santos, Karine Reis Ferreira, Michelle Picoli, Gilberto Camara)....Pages 70-79
 Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps  (Alberto Nogales, Álvaro José García-Tejedor, Noemy Martín Sanz, Teresa de Dios Alija)....Pages 80-89
 Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms  (Zefeng Bai, Nitin Jain, Ying Wang, Dominique Haughton)....Pages 90-99
 Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features  (Yann Bernard, Nicolas Hueber, Bernard Girau)....Pages 100-109
 Robust Adaptive SOMs Challenges in a Varied Datasets Analytics  (Alaa Ali Hameed, Naim Ajlouni, Bekir Karlik)....Pages 110-119
 Detection of Abnormal Flights Using Fickle Instances in SOM Maps  (Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu)....Pages 120-129
 LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison  (Diego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros)....Pages 130-139
 When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns  (Madalina Olteanu, Jean-Charles Lamirel)....Pages 140-149
 Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors  (Ashutosh Karna, Karina Gibert)....Pages 150-159
 A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data  (Henry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp)....Pages 160-165
 Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm  (Jan Faigl, Miloš Prágr)....Pages 166-176
Front Matter ....Pages 177-177
 Investigation of Activation Functions for Generalized Learning Vector Quantization  (Thomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden)....Pages 179-188
 Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks  (Sascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann)....Pages 189-199
 Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization  (Moritz Heusinger, Christoph Raab, Frank-Michael Schleif)....Pages 200-209
 Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework  (Michael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer)....Pages 210-221
Front Matter ....Pages 223-223
 Soft Subspace Topological Clustering over Evolving Data Stream  (Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune)....Pages 225-230
 Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention  (Sascha Fleer, Helge Ritter)....Pages 231-240
 Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers  (David N. Coelho, Guilherme A. Barreto)....Pages 241-250
 Subspace Quantization on the Grassmannian  (Shannon Stiverson, Michael Kirby, Chris Peterson)....Pages 251-260
 Variants of Fuzzy Neural Gas  (Tina Geweniger, Thomas Villmann)....Pages 261-270
 Autoencoders Covering Space as a Life-Long Classifier  (Rudolf Szadkowski, Jan Drchal, Jan Faigl)....Pages 271-281
Front Matter ....Pages 283-283
 Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps  (Camden Jansen, Ali Mortazavi)....Pages 285-293
 A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI  (Patrick Riley, Ivan Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell)....Pages 294-303
 Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer  (Meenal Srivastava, Ivan Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell)....Pages 304-313
 Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets  (Adrián Bazaga, Alfredo Vellido)....Pages 314-323
 Searching for the Origins of Life – Detecting RNA Life Signatures Using Learning Vector Quantization  (Thomas Villmann, Marika Kaden, Szymon Wasik, Mateusz Kudla, Kaja Gutowska, Andrea Villmann et al.)....Pages 324-333
 Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis  (Niina Gen, Tokutaka Heizo, Ohkita Masaaki, Kasezawa Nobuhiko)....Pages 334-339
Back Matter ....Pages 341-342