WSOM+ 2019: 13TH INTERNATIONAL WORKSHOP ON SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, CLUSTERING AND DATA VISUALIZATION

This page contains an index consisting of author-provided keywords.

3
3D printing	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
A
activation function	Investigation of Activation Functions for Generalized Learning Vector Quantization
Adaptive-SOM	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
adversarial attacks	Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
angles between subspaces	Subspace Quantization on the Grassmannian
Anomaly Detection & Localization	SOM-Based Anomaly Detection & Localization for Space Subsystems
Approximate linear dependence	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
auto-encoder	Autoencoders Covering Space As A Life-Long Classifier
C
catastrophic forgetting	Autoencoders Covering Space As A Life-Long Classifier
cellular computing	Cellular Self-Organising Maps - CSOM
chemical signal visualization	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
classification	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks Investigation of Activation Functions for Generalized Learning Vector Quantization
Clustering	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors When clustering the multiscalar fingerprint of the city reveals its segregation patterns Robust Adaptive SOMs Challenges in a Varied Datasets Analytics Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Community clusters	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Community detection in medical images	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
concept drift	Autoencoders Covering Space As A Life-Long Classifier Prototype-based classifiers in the presence of concept drift: A modelling framework Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
Condition Monitoring	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Consumer Discretionary Sector	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
convolutional neural networks	Self-Organizing Maps with Convolutional Layers
D
Data Mining	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI
data science	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
Data Stream	Soft Subspace Topological Clustering over Evolving Data Stream
data visualization	Self-Organizing Maps with Convolutional Layers A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
deep learning	Solving a tool-based interaction task using deep reinforcement learning with visual attention
DIM mode (Component numerical analysis)	Simultaneous display of front and back sides of spherical SOM for health data analysis
dimensionality reduction	Self-Organizing Maps with Convolutional Layers
Drug discovery	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Dynamic Neural Fields	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
E
Earth Observation Data Cubes Analysis	Self-Organizing Maps in Earth Observation Data Cubes Analysis
Entropy Weighting System	Soft Subspace Topological Clustering over Evolving Data Stream
F
Fault Detection	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Fickle instances	Detection of abnormal flights using fickel instances in SOM maps
Financial Ratios	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
Fisher Distance	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
Fisher Information Metric	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
flag manifolds	Self-Organizing Mappings on the Flag Manifold
flag mean	Subspace Quantization on the Grassmannian
fuzzy neural gas	Variants of Fuzzy Neural Gas
G
Generic competencies	Competencies in higher education: a feature analysis with self-organizing maps
Genomics	Progressive clustering and characterization of increasingly higher dimensional datasets with Living Self-Organizing Maps
geodesic	Self-Organizing Mappings on the Flag Manifold
Graph Sparsity	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering
Grassmannian	Subspace Quantization on the Grassmannian
Growing Neural Gas	Incremental Traversability Assessment Learning using Growing Neural Gas Algorithm Soft Subspace Topological Clustering over Evolving Data Stream
GTM	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI
H
health care data	Simultaneous display of front and back sides of spherical SOM for health data analysis
Health monitoring	Detection of abnormal flights using fickel instances in SOM maps
Hidden markov models	Look and feel what and how recurrent self-organizing maps learn
Higher education	Competencies in higher education: a feature analysis with self-organizing maps
hyperspectral imaging	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
I
Incremental Learning	Incremental Traversability Assessment Learning using Growing Neural Gas Algorithm
Induction Motors	LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Information Geometry	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
Integrated System Health Management	SOM-Based Anomaly Detection & Localization for Space Subsystems
interpretation oriented tools	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
iterative learning	Autoencoders Covering Space As A Life-Long Classifier
K
K-means	Subspace Quantization on the Grassmannian
Kernel classifiers	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
Kernel SOM	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
L
Land Use and Cover Changes	Self-Organizing Maps in Earth Observation Data Cubes Analysis
LBG	Subspace Quantization on the Grassmannian
learning vector quantization	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks Investigation of Activation Functions for Generalized Learning Vector Quantization
Leukemia	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
life-long learning	Autoencoders Covering Space As A Life-Long Classifier
LVQ	Prototype-based classifiers in the presence of concept drift: A modelling framework
M
median data	Variants of Fuzzy Neural Gas
mediated interaction	Solving a tool-based interaction task using deep reinforcement learning with visual attention
Medical image analysis	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
mpMRI	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI
N
Network analysis	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
neural networks	Cellular Self-Organising Maps - CSOM
O
origin of life	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization
P
perceptron	Investigation of Activation Functions for Generalized Learning Vector Quantization
possibilistic neural gas	Variants of Fuzzy Neural Gas
Progressive Clustering	Progressive clustering and characterization of increasingly higher dimensional datasets with Living Self-Organizing Maps
Prototype-based classifiers	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison
Q
quality measures	Self-Organizing Maps with Convolutional Layers
R
recurrent neural networks	Solving a tool-based interaction task using deep reinforcement learning with visual attention
recurrent self-organizing map	Look and feel what and how recurrent self-organizing maps learn
REINFORCE algorithm	Solving a tool-based interaction task using deep reinforcement learning with visual attention
reinforcement learning	Solving a tool-based interaction task using deep reinforcement learning with visual attention
relational data	Variants of Fuzzy Neural Gas
ReLU	Investigation of Activation Functions for Generalized Learning Vector Quantization
Riemannian Space	Classifying and grouping mammography images into communities using Fisher information networks to assist the diagnosis of breast cancer
RNA sequences	Searching for the Origins of Life -- Detecting RNA Life Signatures Using Learning Vector Quantization
Robotics	Incremental Traversability Assessment Learning using Growing Neural Gas Algorithm
Robust	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
Robust Soft Learning Vector Quantization	Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
robustness	Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
S
Saliency Map	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
Satellite Image Time Series	Self-Organizing Maps in Earth Observation Data Cubes Analysis
segregation	When clustering the multiscalar fingerprint of the city reveals its segregation patterns
self-organising maps	Cellular Self-Organising Maps - CSOM
Self-Organizing Map	SOM-Based Anomaly Detection & Localization for Space Subsystems
Self-organizing mappings	Self-Organizing Mappings on the Flag Manifold
Self-Organizing Maps	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features Self-Organizing Maps with Convolutional Layers Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms Competencies in higher education: a feature analysis with self-organizing maps Progressive clustering and characterization of increasingly higher dimensional datasets with Living Self-Organizing Maps
sensor data	Using Hierarchical Clustering to Understand Behavior of 3D Printer Sensors
sequence processing	Look and feel what and how recurrent self-organizing maps learn
sigmoid	Investigation of Activation Functions for Generalized Learning Vector Quantization
simultaneous front and back display	Simultaneous display of front and back sides of spherical SOM for health data analysis
Soft Subspace clustering	Soft Subspace Topological Clustering over Evolving Data Stream
SOM	Self-Organizing Mappings on the Flag Manifold
SOM Clustering	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering
SOM maps	Detection of abnormal flights using fickel instances in SOM maps
Sparsification	Approximate Linear Dependence as a Design Method for Kernel Prototype-based Classifiers
Spatial analysis	When clustering the multiscalar fingerprint of the city reveals its segregation patterns
spherical SOM	Simultaneous display of front and back sides of spherical SOM for health data analysis
Stream Classification	Passive Concept Drift handling via Momentum Based Robust Soft Learning Vector Quantization
supervised learning	Prototype-based classifiers in the presence of concept drift: A modelling framework
SVM	A voting ensemble method to assist the diagnosis of prostate cancer using multiparametric MRI
swish	Investigation of Activation Functions for Generalized Learning Vector Quantization
T
Therapeutic targets	Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets
Time series	Using SOM-based Visualization to Analyze the Financial Performance of Consumer Discretionary Firms
tool-based interaction	Solving a tool-based interaction task using deep reinforcement learning with visual attention
Topology	Robust Adaptive SOMs Challenges in a Varied Datasets Analytics
Topology Representing Network	A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM Clustering
V
variable importance	When clustering the multiscalar fingerprint of the city reveals its segregation patterns
virtual reality	A walk through spectral bands: Using virtual reality to better visualize hyperspectral data
visual attention	Solving a tool-based interaction task using deep reinforcement learning with visual attention
Visual Tracking	Novelty detection with self-organizing maps for autonomous extraction of salient tracking features
visualization	Self-Organizing Mappings on the Flag Manifold
W
weight decay	Prototype-based classifiers in the presence of concept drift: A modelling framework

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