Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
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Published By Springer International Publishing

9783030196417, 9783030196424

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_28 ◽

2019 ◽

pp. 285-293

Author(s):

Camden Jansen ◽

Ali Mortazavi

Keyword(s):

Self Organizing Maps ◽

Higher Dimensional ◽

Self Organizing

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LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_13 ◽

2019 ◽

pp. 130-139

Author(s):

Diego P. Sousa ◽

Guilherme A. Barreto ◽

Charles C. Cavalcante ◽

Cláudio M. S. Medeiros

Keyword(s):

Condition Monitoring ◽

Induction Motors ◽

Performance Comparison ◽

A Performance

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Self-Organizing Maps with Convolutional Layers

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_3 ◽

2019 ◽

pp. 23-32 ◽

Cited By ~ 2

Author(s):

Lars Elend ◽

Oliver Kramer

Keyword(s):

Self Organizing Maps ◽

Self Organizing

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Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_8 ◽

2019 ◽

pp. 80-89

Author(s):

Alberto Nogales ◽

Álvaro José García-Tejedor ◽

Noemy Martín Sanz ◽

Teresa de Dios Alija

Keyword(s):

Higher Education ◽

Feature Analysis ◽

Self Organizing Maps ◽

Self Organizing

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Self-Organizing Maps in Earth Observation Data Cubes Analysis

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_7 ◽

2019 ◽

pp. 70-79 ◽

Cited By ~ 1

Author(s):

Lorena Santos ◽

Karine Reis Ferreira ◽

Michelle Picoli ◽

Gilberto Camara

Keyword(s):

Earth Observation ◽

Observation Data ◽

Self Organizing Maps ◽

Data Cubes ◽

Earth Observation Data ◽

Self Organizing

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A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_29 ◽

2019 ◽

pp. 294-303 ◽

Cited By ~ 1

Author(s):

Patrick Riley ◽

Ivan Olier ◽

Marc Rea ◽

Paulo Lisboa ◽

Sandra Ortega-Martorell

Keyword(s):

Prostate Cancer ◽

Multiparametric Mri ◽

Ensemble Method

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Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_19 ◽

2019 ◽

pp. 189-199 ◽

Cited By ~ 3

Author(s):

Sascha Saralajew ◽

Lars Holdijk ◽

Maike Rees ◽

Thomas Villmann

Keyword(s):

Vector Quantization ◽

Learning Vector Quantization

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Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_33 ◽

2019 ◽

pp. 334-339

Author(s):

Niina Gen ◽

Tokutaka Heizo ◽

Ohkita Masaaki ◽

Kasezawa Nobuhiko

Keyword(s):

Data Analysis ◽

Health Data

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Variants of Fuzzy Neural Gas

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_26 ◽

2019 ◽

pp. 261-270

Author(s):

Tina Geweniger ◽

Thomas Villmann

Keyword(s):

Neural Gas ◽

Fuzzy Neural

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Subspace Quantization on the Grassmannian

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization ◽

10.1007/978-3-030-19642-4_25 ◽

2019 ◽

pp. 251-260

Author(s):

Shannon Stiverson ◽

Michael Kirby ◽

Chris Peterson

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Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data VisualizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing Maps

LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance Comparison

Self-Organizing Maps with Convolutional Layers

Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps

Self-Organizing Maps in Earth Observation Data Cubes Analysis

A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI

Robustness of Generalized Learning Vector Quantization Models Against Adversarial Attacks

Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data Analysis

Variants of Fuzzy Neural Gas

Subspace Quantization on the Grassmannian

Advances in Intelligent Systems and Computing - Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
Latest Publications