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 / editors, Alfredo Vellido, Karina Gibert, Cecilio Angulo and José David Martín Guerrero.

This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcase...

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Bibliographic Details
Corporate Author:	Workshop on Self-Organizing Maps Barcelona, Spain
Other Authors:	Vellido, Alfredo (Editor), Gibert, Karina (Editor), Angulo, Cecilio (Editor), Martín Guerrero, José David (Editor)
Format:	eBook
Language:	English
Published:	Cham, Switzerland : Springer, [2020]
Series:	Advances in intelligent systems and computing ; v. 976.
Subjects:	Neural networks (Computer science) > Congresses. Self-organizing maps > Congresses. Self-organizing systems > Congresses. COMPUTERS > General. Neural networks (Computer science) Self-organizing maps Self-organizing systems proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès.
Online Access:	Click for online access

Table of Contents:

Self-organizing Maps : Theoretical Developments
Look and Feel What and How Recurrent Self-Organizing Maps Learn
Self-Organizing Mappings on the Flag Manifold
Self-Organizing Maps with Convolutional Layers
Cellular Self-Organising Maps
CSOM
A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering Practical Applications of Self-Organizing Maps, Learning Vector Quantization and Clustering
SOM-Based Anomaly Detection and Localization for Space Subsystems
Self-Organizing Maps in Earth Observation Data Cubes Analysis
Competencies in Higher Education : A Feature Analysis with Self-Organizing Maps
Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features
Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
Detection of Abnormal Flights Using Fickle Instances in SOM Maps
LVQ-type Classifiers for Condition Monitoring of Induction Motors : A Performance Comparison
When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation Patterns
Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
A Walk Through Spectral Bands : Using Virtual Reality to Better Visualize Hyperspectral Data
Incremental Traversability Assessment Learning Using Growing Neural Gas Algorithm
Learning Vector Quantization : Theoretical Developments
Investigation of Activation Functions for Generalized Learning Vector Quantization
Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks
Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization
Prototype-Based Classifiers in the Presence of Concept Drift : A Modelling Framework
Theoretical Developments in Clustering, Deep Learning and Neural Gas
Soft Subspace Topological Clustering over Evolving Data Stream
Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention
Approximate Linear Dependence as a Design Method for Kernel Prototype-Based Classifiers
Subspace Quantization on the Grassmannian
Variants of Fuzzy Neural Gas
Autoencoders Covering Space as a Life-Long Classifier
Life Science Applications
Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer
Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Searching for the Origins of Life
Detecting RNA Life Signatures Using Learning Vector Quantization
Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis.

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 / editors, Alfredo Vellido, Karina Gibert, Cecilio Angulo and José David Martín Guerrero.

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