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 - researchr publication

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Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero, editors, 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. Volume 976 of Advances in Intelligent Systems and Computing, Springer, 2020. [doi]

Conference: wsom2020

Abstract is missing.

Look and Feel What and How Recurrent Self-Organizing Maps LearnJérémy Fix, Hervé Frezza-Buet. 3-12 [doi]

Self-Organizing Mappings on the Flag ManifoldXiaofeng Ma, Michael Kirby, Chris Peterson. 13-22 [doi]

Self-Organizing Maps with Convolutional LayersLars Elend, Oliver Kramer. 23-32 [doi]

Cellular Self-Organising Maps - CSOMBernard Girau, Andres Upegui. 33-43 [doi]

A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM ClusteringJoshua Taylor, Erzsébet Merényi. 44-54 [doi]

SOM-Based Anomaly Detection and Localization for Space SubsystemsMaia Rosengarten, Sowmya Ramachandran. 57-69 [doi]

Self-Organizing Maps in Earth Observation Data Cubes AnalysisLorena A. Santos, Karine Reis Ferreira, Michelle Cristina Araújo Picoli, Gilberto Câmara. 70-79 [doi]

Competencies in Higher Education: A Feature Analysis with Self-Organizing MapsAlberto Nogales, Álvaro José García-Tejedor, Noemy Martín Sanz, Teresa de Dios Alija. 80-89 [doi]

Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary FirmsZefeng Bai, Nitin Jain, Ying Wang, Dominique Haughton. 90-99 [doi]

Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking FeaturesYann Bernard, Nicolas Hueber, Bernard Girau. 100-109 [doi]

Robust Adaptive SOMs Challenges in a Varied Datasets AnalyticsAlaa Ali Hameed, Naim Ajlouni, Bekir Karlik. 110-119 [doi]

Detection of Abnormal Flights Using Fickle Instances in SOM MapsMarie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu. 120-129 [doi]

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance ComparisonDiego P. Sousa, Guilherme A. Barreto, Charles C. Cavalcante, Cláudio M. S. Medeiros. 130-139 [doi]

When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation PatternsMadalina Olteanu, Jean-Charles Lamirel. 140-149 [doi]

Using Hierarchical Clustering to Understand Behavior of 3D Printer SensorsAshutosh Karna, Karina Gibert. 150-159 [doi]

A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral DataHenry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp. 160-165 [doi]

Incremental Traversability Assessment Learning Using Growing Neural Gas AlgorithmJan Faigl, Milos Prágr. 166-176 [doi]

Investigation of Activation Functions for Generalized Learning Vector QuantizationThomas Villmann, Jensun Ravichandran, Andrea Villmann, David Nebel, Marika Kaden. 179-188 [doi]

Robustness of Generalized Learning Vector Quantization Models Against Adversarial AttacksSascha Saralajew, Lars Holdijk, Maike Rees, Thomas Villmann. 189-199 [doi]

Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector QuantizationMoritz Heusinger, Christoph Raab, Frank-Michael Schleif. 200-209 [doi]

Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkMichael Biehl, Fthi Abadi, Christina Göpfert, Barbara Hammer. 210-221 [doi]

Soft Subspace Topological Clustering over Evolving Data StreamMohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune. 225-230 [doi]

Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual AttentionSascha Fleer, Helge J. Ritter. 231-240 [doi]

Approximate Linear Dependence as a Design Method for Kernel Prototype-Based ClassifiersDavid N. Coelho, Guilherme A. Barreto. 241-250 [doi]

Subspace Quantization on the GrassmannianShannon Stiverson, Michael Kirby, Chris Peterson. 251-260 [doi]

Variants of Fuzzy Neural GasTina Geweniger, Thomas Villmann. 261-270 [doi]

Autoencoders Covering Space as a Life-Long ClassifierRudolf J. Szadkowski, Jan Drchal, Jan Faigl. 271-281 [doi]

Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing MapsCamden Jansen, Ali Mortazavi. 285-293 [doi]

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRIPatrick Riley, Iván Olier, Marc Rea, Paulo Lisboa, Sandra Ortega-Martorell. 294-303 [doi]

Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast CancerMeenal Srivastava, Iván Olier, Patrick Riley, Paulo Lisboa, Sandra Ortega-Martorell. 304-313 [doi]

Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug TargetsAdrián Bazaga, Alfredo Vellido. 314-323 [doi]

Searching for the Origins of Life - Detecting RNA Life Signatures Using Learning Vector QuantizationThomas Villmann, Marika Kaden, Szymon Wasik, Mateusz Kudla, Kaja Gutowska, Andrea Villmann, Jacek Blazewicz. 324-333 [doi]

Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data AnalysisGen Niina, Heizo Tokutaka, Masaaki Ohkita, Nobuhiko Kasezawa. 334-339 [doi]

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